Simulace.info - User contributions [en]

Garbage collection

2021-01-20T18:48:50Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=

The estimation for the total waste produced in 2020 is '''5 174 220''' tonnes based on the results of the simulation. For comparison, according to MŽP, the total produced waste in 2019 was 5 144 000 tonnes.

[[File:Numbers.PNG]]

Total of '''4 372 220''' tonnes was recycled (84,5 % of total volume), '''181 098''' tonnes was incinerated (3,5 %), '''491 551''' was landfilled (9,5 %) and the rest (2,5 %) was disposed of in other ways.

=Conclusion=

The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population. Total volume of recycled waste was calculated by (total created waste in Prague)*0,845<ref name="mzp2"></ref>.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulation.

=Code=

[[Media:Waste.mdl]]

=References=

Garbage collection

2021-01-20T18:46:44Z

Dobj02:

Garbage collection

2021-01-20T18:46:06Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=

The estimation for the total waste produced in 2020 is '''5 174 220''' tonnes based on the results of the simulation. For comparison, according to MŽP, the total produced waste in 2019 was 5 144 000 tonnes.

[[File:Numbers.PNG]]

Total of '''4 372 220''' tonnes was recycled (84,5 % of total volume), '''181098''' tonnes was incinerated (3,5 %), '''491 551''' was landfilled (9,5 %) and the rest (2,5 %) was disposed of in other ways.

=Conclusion=

The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population. Total volume of recycled waste was calculated by (total created waste in Prague)*0,845<ref name="mzp2"></ref>.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulations.

=Code=

[[Media:Waste.mdl]]

=References=

Garbage collection

2021-01-20T18:42:37Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=

The estimation for the total waste produced in 2020 is '''5 174 220''' tonnes based on the results of the simulation. For comparison, according to MŽP, the total produced waste in 2019 was 5 144 000 tonnes.

[[File:Numbers.PNG]]

Total of '''4 372 220''' tonnes was recycled (84,5 % of total volume), '''181098''' tonnes was incinerated (3,5 %), '''491 551''' was landfilled (9,5 %) and the rest (2,5 %) was disposed of in other ways.

=Conclusion=

The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulations.

=Code=

[[Media:Waste.mdl]]

=References=

Garbage collection

2021-01-20T18:40:06Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulations.

=Conclusion=

The estimation for the total waste produced in 2020 is '''5 174 220''' tonnes based on the results of the simulation. For comparison, according to MŽP, the total produced waste in 2019 was 5 144 000 tonnes.

[[File:Numbers.PNG]]

Total of '''4 372 220''' tonnes was recycled (84,5 % of total volume), '''181098''' tonnes was incinerated (3,5 %), '''491 551''' was landfilled (9,5 %) and the rest (2,5 %) was disposed of in other ways.

=Code=

[[Media:Waste.mdl]]

=References=

WS 2020/2021

2021-01-20T18:32:14Z

Dobj02:

Semestral papers from winter term 2020/2021. Please, put here links to the pages with your paper. First you need to have your [[Assignments WS 2020/2021|assignment approved]]

[http://www.simulace.info/index.php/Impact_of_late_lockdown_and_hospital_capacity_on_19-COVID_spread Impact of late lockdown and hospital capacity on 19-COVID spread] , Thomas BAEUMLIN [[User:Toscool|Toscool]] ([[User talk:Toscool|talk]]) 16:15, 7 January 2020 (CET)

[[Comparing_multiple_airplane_boarding_methods]], Adam Jedlička [[User:Jeda00|jeda00]] 20:45, 17 January 2020 (CET)

[http://www.simulace.info/index.php/Effects_of_VAT_exemption_abolition_to_imported_low_value_consignments Effects of VAT exemption abolition to imported low value consignments], Adela Barchankova [[User:bara15|bara15]] ([[User talk:bara15|talk]]) 21:00, 18 January 2020 (CET)

[[Retirement Planning]], [[User:Louis|Louis]] ([[User talk:Louis|talk]]) 02:08, 19 January 2021 (CET)

[[Covid 19 - Contacts]], [[User:praa03|praa03]] 17:08, 19 January 2021 (CET)

[[Corrupted Blood Incident]], [[User:Frym06|Frym06]] ([[User talk:Frym06|talk]]) 19:32, 19 January 2021 (CET)

[[Car acquisition]], [[Mico00|Mico00]] 19:59, 19 January 2021 (CET)

[[Widening the spread between rich and poor]], [[User:Sára|Sára]] 21:40, 19 January 2021 (CET)

[[Development of real estate prices in Prague]], [[User:netp02|netp02]] 23:41, 19 January 2021 (CET)

[[IT Team simulation]], [[Antonsverlov]] , 20 January 2021 (CET)

[[Evolution of retirement pay in the Czech Republic]], Arnošt Sychra [[User:Syca00|Syca00]] 03:30, 20 January 2020 (CET)

[http://www.simulace.info/index.php/COVID-19_symptoms COVID-19 symptoms simulation] , Kamila Steinbartová [[User:stek15|stek15]] ([[User talk:stek15|talk]]) 13:07, 20 January 2020 (CET)

[http://www.simulace.info/index.php/Risk_Simulation_in_Banking Risk Simulation in Banking], Simon Orlik [[User:Simon|Simon]] ([[User talk:Simon|talk]]) 16:52, 20 January (CET)

[http://www.simulace.info/index.php/Garbage_collection Garbage collection] [[User:Dobj02|Dobj02]] ([[User talk:Dobj02|talk]]) 19:32, 20 January 2021 (CET)

Garbage collection

2021-01-20T18:28:45Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulations.

=Conclusion=

The estimation for a total produced waste in 2020 is '''5 174 220''' tonnes based on the results in the simulation. For comparison, according to MŽP, total produced waste in 2019 was 5 144 000 tonnes.

[[File:Numbers.PNG]]

=Code=

[[Media:Waste.mdl]]

=References=

Garbage collection

2021-01-20T18:28:21Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulations.

=Conclusion=

The estimation for a total produced waste in 2020 is '''5 174 220''' tonnes based on the results in the simulation. According to MŽP, total produced waste in 2019 was 5 144 000 tonnes.

[[File:Numbers.PNG]]

=Code=

[[Media:Waste.mdl]]

=References=

Garbage collection

2021-01-20T18:26:11Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019 to start the simulations.

=Conclusion=

The estimation for a total produced waste in 2020 is 5 174 220 tonnes based on the results.

[[File:Numbers.PNG]]

=Code=

[[Media:Waste.mdl]]

=References=

Garbage collection

2021-01-20T18:25:36Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling,
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste production and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition Vensim PLE modelling software was chosen.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of produced waste.
Starting value is '''0'''

===Creation===
Volume of produced waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling, and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of waste processed by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of material used in manufacturing during month which consists of primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of uses of waste other than recycling, incineration, and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed of in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the latest available data (from 2019).
Because of the nature of the data, which are presented in years, I divided the volume of total recycled waste by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation an estimation was created for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps). Step 0 represents average month from 2019.

=Conclusion=

The estimation for a total produced waste in 2020 is 5 174 220 tonnes based on the results.

[[File:Numbers.PNG]]

=Code=

[[Media:Waste.mdl]]

=References=

File:Numbers.PNG

2021-01-20T17:39:00Z

Dobj02:

Garbage collection

2021-01-20T17:37:58Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste creation and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition was chosen Vensim PLE modelling software.

=Model=

[[File:Garbage.PNG]]

==Variables==

===Waste===
Represents total volume of created waste.
Starting value is '''0'''

===Creation===
Volume of created waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of processed waste by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of used material in manufacturing during month which consists from primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of other uses of waste than recycling, incineration and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the newest available data (from 2019).
Because of the nature of the data which are presented in years I divided the numbers by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation was created estimation for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps).

=Conclusion=

=Code=

[[Media:Waste.mdl]]

=References=

File:Waste.mdl

2021-01-20T17:36:55Z

Dobj02:

File:Garbage.PNG

2021-01-20T17:29:53Z

Dobj02: Dobj02 uploaded a new version of File:Garbage.PNG

File:Garbage.PNG

2021-01-20T17:27:25Z

Dobj02:

Garbage collection

2021-01-20T17:26:23Z

Dobj02:

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste creation and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition was chosen Vensim PLE modelling software
due to the dynamic nature of this system.

=Model=

==Variables==

===Waste===
Represents total volume of created waste.
Starting value is '''0'''

===Creation===
Volume of created waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of processed waste by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of used material in manufacturing during month which consists from primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of other uses of waste than recycling, incineration and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the newest available data (from 2019).
Because of the nature of the data which are presented in years I divided the numbers by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation was created estimation for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps).

=Conclusion=

=Code=

=References=

Garbage collection

2021-01-20T17:20:31Z

Dobj02: Created page with "=Problem definition= Waste processing in the 21st century is increasingly more characterized by efforts to protect the environment and ensure sustainable development - a sig..."

=Problem definition=

Waste processing in the 21st century is increasingly more characterized by efforts
to protect the environment and ensure sustainable development - a sign of circular economy
which aims to combine the environmental benefits with socioeconomic positive impact.
The simulation focuses on the total amount of waste created by manufacturers and inhabitants
of Prague. The waste is then processed in one of 4 ways - recycling, incineration, landfilling
or other disposal. Among variables which have an impact on the system are primary resources
used for manufacturing, population of the city and an average consumption per capita.
Simulation will run in months and waste is measured in tonnes.
The purpose of this simulation is to predict waste creation and waste processing for year 2020 based on
the data from 2019.

=Method=

For the purpose specified in the problem definition was chosen Vensim PLE modelling software
due to the dynamic nature of this system.

=Model=

==Variables==

===Waste===
Represents total volume of created waste.
Starting value is '''0'''

===Creation===
Volume of created waste in a month.
Creation = Municipal waste + Manufacturing waste

===Processed===
Total volume of processed waste. Consists of recycling, incineration, landfilling and other disposal.
Processed = Creation

===Recycling===
Total volume of processed waste by recycling.
Recycling = Creation * Recycling rate

===Recycling rate===
How many per cent of total waste is being recycled.
Recycling rate = '''0,845''' <ref name="mzp2">Ministerstvo životního prostředí <i>Souhrnná data o odpadovém hospodářství ČR v letech 2009 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Souhrnna_data_2009_2019-20201119.002.pdf </ref>

===Incineration===
Total volume of processed waste by incineration.
Incineration = Creation * Incineration rate

===Incineration rate===
How many per cent of total waste is being incinerated.
Incineration rate = '''0,035''' <ref name="mzp2"></ref>

===Landfilling===
Total volume of processed waste by landfilling.
Stock pile = Creation * Landfilling rate

===Landfilling rate===
How many per cent of total waste is being landfilled.
Landfilling rate = '''0,095''' <ref name="mzp2"></ref>

===Recycled===
Volume of recycled waste in a month.
Starting value is '''355 793''' (average for one month in Prague in 2019) <ref name="mzp1">Ministerstvo životního prostředí <i>Produkce odpadů v krajích České republiky, 2010 - 2019</i>[online]. Available from: https://www.mzp.cz/C1257458002F0DC7/cz/odpady_podrubrika/$FILE/OODP-Produkce_kraje_2019-20201119.002.pdf </ref>.
Recycled = (Creation * Recycling rate) - Recycled

===Manufacturing material===
Volume of used material in manufacturing during month which consists from primary resources and secondary (recycled waste).
Material = Recycled + Primary resources

===Other disposal===
Other disposal represents total volume of other uses of waste than recycling, incineration and landfilling.
Other disposal = Creation* Other disposal rate

===Other disposal rate===
How many per cent of total waste is being disposed in other ways.
Other disposal rate = '''0,025''' <ref name="mzp2"></ref>

===Primary resources===
Primary resources represents the resources that are used in manufacturing which were not recycled.
Primary resources = '''RANDOM NORMAL (974240, 2000000, 1487120, 100000, 0)'''

===Manufacturing waste===
Waste created by manufacturing.
Manufacturing waste = Manufacturing materials * Waste creation rate

===Waste creation rate===
Represents how many per cent of waste is created from manufacturing.
Waste creation rate = '''0,2'''

===Municipal waste===
Municipal waste = Population * Average consumption per capita

===Population===
Population = '''1 331 464''' <ref name="czso">Český statistický úřad <i>Nejnovější údaje: Hl. m. Praha</i>[online]. Available from: https://www.czso.cz/csu/xa/1-xa </ref>

===Average consumption per capita===
Municipal waste in Prague was 721 000 tonnes in 2019 <ref name="mzp1"></ref>. Municipal waste divided by total population of Prague is 0.548 tonnes per capita in a year (2019)<ref name="mzp1"></ref>.
0,548/12 = 0,04566 tonnes of created municipal waste per capita in one month.
Average consumption per capita in a month = '''0,04566'''

=Results=
The numbers in the simulation are based on the newest available data (from 2019).
Because of the nature of the data which are presented in years I divided the numbers by 12 to get
the "average month" in 2019 to simulate evolvement in 2020 by adjusting the population.
From the simulation was created estimation for year 2020 (which has not been documented yet).
The goal was to simulate 12 months in 2020 (12 steps).

=Conclusion=

=Code=

=References=

Assignments WS 2020/2021

2020-12-18T22:58:37Z

Dobj02: /* Garbage collection */

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Please, put here your assignments. Do not forget to sign them. You can use <nowiki>~~~~</nowiki> (four tildas) for an automatic signature. Use Show preview in order to check the result before your final sumbition.
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Please, strive to formulate your assignment carefully. We expect an adequate effort to formulate the assignment as it is your semestral paper. Do not forget that your main goal is a research paper. It means your simulation model must generate the results that are specific, measurable and verifiable. Think twice how you will develop your model, which entities you will use, draw a model diagram, consider what you will measure. No sooner than when you have a good idea about the model, submit your assignment. And of course, read [[How to deal with the simulation assignment|How to deal with the simulation assignment]].
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Topics on gambling, cards, etc. are not welcome.
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In order to avoid possible confusion, please, check if you have added '''approved''' in bold somewhere in our comment under your submission. If there is no '''approved''', it means the assignment was not approved yet.
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== Spread of 19-COVID ==
'''Author''' : [[User:Toscool|Toscool]] ([[User talk:Toscool|talk]]) 11:32, 11 December 2020 (CET)

'''Simulation''' : I will build a dynamic model of an epidemic his the dynamic issues. I will focus on the spread of Covid-19 in a population and Specially I will try to modelize the effect of a lockdown on the number of infections and deaths.
I will start with a susceptible population, with one infected people that infect 10 people with a certain probability. When you are infected you go the doctors and with a certain probability you go in the recovery population or in the hospital. Then you have a percentage of chance to die in this hospital or to recover. The lockdown will triggered when the ratio of people who where to the doctor and total population exceed a certain percentage. We lockdown and by reducing the number of people you infect in the beginning.

'''Goal of simulation''' : I aim to model the impact of a lockdown on the spread of COVID on a population. It will also show the difference between countries, for example if we lockdown too late. What will be the impact of these decisions.

'''Method''' : I will use VensimPLE for this simulation, as it is a dynamic system, and In my home university I know that I will need to use VensimPLE for a future project and course so it will help me a lot.

::The topic souds good - the question is, on what data sources will you base your simulation (equations) on? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 22:13, 12 December 2020 (CET)
:::I will use the case of Switzerland and use data from this website (https://corona-data.ch). I will try to reproduce the number of cases and the speed of the spread.[[User:Toscool|Toscool]] ([[User talk:Toscool|talk]]) 13:39, 13 December 2020 (CET)
::: OK. '''Approved''' but do not forget to include in the report for the simulation how you have derived the equations in the simulation from the data. [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 22:49, 14 December 2020 (CET)

== NFL Free Agency ==
'''Author''' : [[User:TimWalenczak|TimWalenczak]] ([[User talk:TimWalenczak|talk]]) 14:14, 18 December 2020 (CET)

'''Simulation''' : Free agency is a period during the off-season in the National Football League in the US. During that period, all 32 teams in the league can sign active players that have no contract with any other team, so-called free agents. The process goes as follows: at the beginning of free agency a certain amount of players become free agents due to expiring contracts. All players belong to one out of 8 position groups and want to receive a certain salary. Their starting position on the simulation grid is randomly assigned and they will move over the grid. The overall number of free agents is defined manually while they are randomly distributed over all position groups, as well as their desired salary, which is within a certain manually defined range. Whereas all the teams are looking for players from certain position groups and have a certain amount of money they can spend on them. The teams have fixed positions on the grid and do not move during the simulation. The maximum number of players a team is looking for is defined manually, while the desired position group is defined randomly from the list of position groups and the money to spend is randomly distributed over a certain manually defined salary range. When the simulation starts, the initial demand and supply ratio of a specific position is calculated and affects a player’s value. This means a player’s desired salary rises or decreases due to that demand and supply ratio. During the simulation players move over the grid. Players and teams get in touch when they are located next to each other. When a team’s position group needs matches the player’s position group and a player’s salary fits the money a team offers, the team signs this player and he disappears from the free agency market (turtle dies). If the offer doesn’t fit the need, a player walks on to the next team (turtle takes a random angle turn and walks until it approaches another team). Each team can negotiate only with one player at a time, and vice versa. With every round/tick/signing the demand and supply ratio is recalculated and the desired salary of all players in each position group changes and so does the amount of money teams are able to spend on further players (assuming they just signed a player). Free agency ends after a distinct number of ticks or even earlier if there are no more players left or teams do not have any money left to spend.

'''Goal of simulation''' : is to find out how a player’s value changes during the period of free agency. Especially interesting is, whether players that sign a new contract early in the period received higher payments or the ones signing late in the period. Maybe a certain strategy can be deducted for players depending on their initial demand and supply ratio in order to reach a highly paid contract.

'''Method''' : Since I don’t know VensimPLE yet, I think I will use NetLogo, because I see some similarities between my case and the “Market Structure” case we modelled recently.

: It is a bit unusual, but I can see something in common rather with Market Structure than with Building Escape. Please, just elaborate it into a greater detail and specify, how exactly should your simulation work. I am not sure you have a coherent idea about the solution. But if you work this out, I don't see a problem. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 21:45, 11 December 2020 (CET)

: Yeah you are right I meant the Market Structure, sorry for the confusion! Okay, I updated the description above trying to go more into details. [[User:TimWalenczak|TimWalenczak]] ([[User talk:TimWalenczak|talk]]) 14:14, 18 December 2020 (CET)

==COVID-19 mass testing==

'''Author''' : [[User:Milan P|Milan P]] ([[User talk:MilanP|talk]]) 20:15, 13 December 2020 (CET)

'''Simulation''' : I will create simulation for mass Covid-19 testing in Slovakian village or small city. In previous rounds of this real mass testing in Slovakia testing itself took place in one day and in one sampling point, this will be the same with this simulation. In this model roles (medical staff, administrative workers, and police officer), will have assigned costs to them in order to include financial aspect into the simulation. Duration of the simulation will be 4 hours. This will serve as base model which will be adjusted in two ways. Firstly, I will create another model in which I will duplicate sampling point so 2 sampling points will be in simulation. Second adjustment to the base model will be that simulation time will be prolongated to 8 hours. After running all 3 models, outputs will be compared and the optimal one will be selected.

'''Goal of simulation''' : In the previous rounds of COVID-19 mass testing in Slovakia certain sampling points had experienced massive overload and were not prepared for the amount of citizens incoming to be tested. Therefore, this simulation would aim to simulate the scenario with data from previous testing rounds and might be helpful if the governments decides to repeat mass testing again.

'''Method''' : Discrete simulation - SIMPROCESS

: The topic looks generaly good, my only concern is that is could be too simple. What steps of the model do you plan? Where do you obtain the real data? [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 02:54, 17 December 2020 (CET)

: I plan to obtain data from this site https://www.svidnik.sk/oznamy/druhe-kolo-plosneho-testovania-vysledky.html - on this website number of patients to be tested and number of points/places that take samples can be found. I know that each point/place has to have: 1 healthcare worker, 2 administrative workers and 1 police officer. Data about hourly rate can be obtained from this site: https://www.platy.sk/platy. Maybe I would like to adjust my original proposal, there would not be 1 point/place taking samples but 9 and I would create another simulation for more or less points/places. Generally I like the idea of splitting patients into two groups and I might include that in my simulation as well. One would consist of people older than 60 and the other one would consist of the rest of population. I will split the population according to demographic structure of Slovakia https://sk.wikipedia.org/wiki/Demografia_Slovenska#Vekov%C3%A1_%C5%A1trukt%C3%BAra. Steps I can think of right now: Patients entering, splitting the patients, administrative work, waiting, taking samples, waiting, receiving results, again splitting patients based on the results (negative ones can go home with certificate and positive ones would require additional steps like receiving information what to do next etc.) and the the simulation would end. [[User:Milan P|Milan P]] ([[User talk:MilanP|talk]]) 00:05, 18 December 2020 (CET)

==Nanorobots vs. Cancer==

'''Author''' : [[User:Dufa00|Dufa00]] 20:24, 14 December 2020 (CET)

'''Simulation''' : Simply put: I want to simulate human body environment, where cancer is going to spread, but can be cured via nanorobotics. At the begining, observer will adjust parametres that will state the chance of cancer (bad vs. good life style etc.). Then the simulation of cancer will happen. With assigned button, observer can deploy nanorobots (which feed on the cancer) and watch how the robot or robots manage to heal the human body from cancer. If the observer does not press the deploy button, the human body will eventually succumb to the disease. I am still thinking about puting there a little twist, danger that comes with puting nanorobots into human body to see, if the treatment is worth the risk or not.

'''Goal of simulation''' : Main goal is to highlight the potential effectiveness of nanorobots. Sidequest might be to compare pros and cons that come along with deployment of the nanorobots.

'''Method''' : NetLogo

: An interesting idea. Unfortunately, because this is completely unrealistic, you cannot work with any reasonable data and it means that you are not able to prove the meaningfulness of the results. Please suggest something else. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 03:04, 17 December 2020 (CET)

==Widening the spread between rich and poor==

'''Author''' : [[User:Sára|Sára]] 21:00, 14 December 2020 (CET)

'''Simulation''' : After 2007-9 world economic crisis a new monetary policy, rather unconventional, was established to escape recessions/depressions. It is called quantitative easing. Although this tool succeeded in reverting the depression and proved helpful during coming years, it is highly discussed what side effects this tool has. A lot of researches suggest that it widens the gap between rich and poor people and make prices of bonds and stocks highly overheated.

'''Goal of simulation''' : Based on macroeconomics theory and semantic experiences from quantitative easing and its influence on other macroeconomic agents like interest rate, inflation, monetary supply etc., i would like to simulate behavior of banks and people during quantitative easing and i would like to work with different values of macroeconomic agents and bank and people behavior in order to try to find out whether widening the spread between rich and poor is an unevitable effect, whether it is sustainable in long term and whether they are possibilities how to erase this side effect.

'''Method''' : NetLogo

: I like the topic (although quantitative easing is just an eufemism for money printing, hence the implications are quite predictable). Before I finally approve, please elaborate it deeper. How exactly you will simulate, what will be the agents, what will they do, etc. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 02:47, 17 December 2020 (CET)

: Agents will be banks and people, until now quantitative easing is been applied always in the situation when interest rates were low for example, it makes people more willing to borrow but banks less willing to lend so idea behind my research is to simulate the process of quantitative easing under different circumstances than it is normally. According to different circumstances i will change people's and banks's behaviors according to macroeconomics theory and empirical knowledge. Is that deep enough? [[User:Sára|Sára]] ([[User talk:Sára|talk]]) 21:01, 18 December 2020 (CET)

==Rhino population in Africa==

'''Author''' : [[User:Michal F.|Michal F.]] ([[User talk:Michal F.|talk]]) 17:23, 15 December 2020 (CET)

'''Simulation''' : Rhinos once roamed many places in Europe, Asia, and Africa. At the beginning of the 20th century, about 500 000 rhinos roamed Africa and Asia. By 1970, rhino numbers dropped to 70,000, and today, around 27,000 rhinos remain in the wild. Africa's rhino population could face extinction within 10 years, animal welfare experts have warned. South Africa has the largest population of the species in the world however, the species still remains under threat from poaching for its horn and from habitat loss and degradation.
Data: http://www.rhinoresourcecenter.com/pdf_files/119/1192816187.pdf, http://www.scielo.org.za/pdf/koedoe/v59n1/15.pdf, https://rhinos.org/about-rhinos/rhino-species/black-rhino/

'''Goal of simulation''' : Based on the available data, I would like to simulate future development of the rhino population (probably the black ones in Africa, cause its most documented). The population is threatened by poaching and the loss of the natural environment. The shrinking population increases people's efforts to protect it from poachers but increases the demand for rhino horns.

'''Method''' : VensimPLE / Insight Maker

:: Topic is interesting. Can you specify the simulation in more detail - what would be the input parameters, variables, what all factors, that have an influence on rhino population, will be incorporated? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 14:55, 16 December 2020 (CET)

==Garbage collection==

'''Author''' : [[User:Dobj02|Dobj02]] ([[User talk:Dobj02|talk]]) 23:07, 16 December 2020 (CET)

'''Simulation''' : My aim is to simulate garbage collection in a city from the city counciler's point of view. I will focus on 3 main standpoints, specifically Waste production, Waste collection and Waste processing. The amount of produced waste is dependent on the population of the city and the rate of waste production of 1 person per day. Waste collection will be dependent on the amount of garbage trucks and their capacity. The number of employees (drivers and garbage collectors) will also play a role in how many trucks per day can be deployed. The final standpoint, Waste processing, consists of waste incineration and recycling. Incineration and recycling facilities can process different amount of waste per day. The scope of simulation can be either in weeks or months.

'''Goal of simulation''' : Finding balance between the amount of produced waste and its disposal by regulating the number of employees, trucks, their capacity, and the number of facilities which can either incinerate or recycle waste depending on the type of waste. The population of the city and the waste production of 1 person will be also adjustable.

'''Method''' : VensimPLE

::Sounds complex (maybe too complex) - but on what real data will you base the above described simulation on, so that the results would make sense? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 08:14, 18 December 2020 (CET)

Upon further reevaluation I propose to make the model simpler by crossing out the Waste collection standpoint, so there will be Waste production and Waste processing left. On these standpoints I found a valuable source of data: https://www.mzp.cz/cz/odpady_podrubrika . Also, thanks to the available data from 2009 to 2019 I could model the probable evolvement of waste production and waste processing either in Prague or the Czech republic. [[User:Dobj02|Dobj02]] ([[User talk:Dobj02|talk]]) 23:58, 18 December 2020 (CET)

==Financial budget of football club==

'''Author''' : [[User:netp02|netp02]] ([[User talk:netp02|talk]]) 22:30, 17 December 2020 (CET)

'''Simulation''' :

The purpose of this simulation is to simulate important financial aspects of the football club. How much sponsors, players, transfers of players, money for tickets, number of sold club´s souvenir influence the budget of the clubs.

'''Goal of simulation''' :

Finding a balance between incomes and expenses, so the football club could work without any money donation from owner of the club.

'''Method''' : VensimPLE

:: On what real data will you base the above described simulation on, so that the results of your simulation would make sense? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 08:16, 18 December 2020 (CET)

:: I would take data from football club Slavia Prague, which announce almost all data for publicity. What it be possible to do it like that?
[[User:netp02|netp02]] ([[User talk:netp02|talk]]) 12:01, 18 December 2020 (CET)
::From the public data you cannot get know-how how a football club works on inside and therefore you cannot build complete system model with its feedback loops. If you would map only the financial flows, the system dynamics is no good for that and the result would be some kind of calcualtion, but not a simulation. I would suggest to try something else.[[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 19:27, 18 December 2020 (CET)

==IT Team simulation==

'''Simulation:'''

I would like to create a simulation, which is based on a Process Diagram and which would describe the process of solving business requirements within the IT team in which I now work. The simulation would show the entire course of the process from the origin of the request to the passage of all phases To Develop - Code review - Testing - Acceptance - UAT - Done.

'''Goal:'''

By simulation, I would deal with limited resources and limited specialization in the team. The goal would be to find out how many requests and in what rhythm our team would be able to deliver. As for the data basement - It would be based on the situation for the last two months. We solve projects in Jira and so I would be able to calculate how long the request lasted and when it returned to the previous stages + some average morbidity of team members, etc.

'''Method:''' SimProcess simulation

==COVID 19 symptoms==

'''Author''' : [[User:Stek15|Stek15]] ([[User talk:Stek15|talk]]) 11:31, 18 December 2020 (CET)

'''Simulation''' :

The model will represent COVID 19. The nodes in the model will represent the common symptoms of COVID 19. According to the World Health Organisation (WHO, 2020) there are 8 common symptoms: fever, dry cough, fatigue, shortness of breath, loss of appetite, confusion, persistent pain or pressure in the chest, high temperature (above 38 °C). The symptoms of said disease are thought to have direct causal relations with one another. If a person develops a symptom of COVID 19 (e.g. shortness of breath), this increases the likelihood of them developing other symptoms (e.g. loss of appetite, fever). Similarly, if one symptom disappears, the others might as well. The greatest danger is present for people vulnerable to the disease. The model will predict whether a person is vulnerable (due to high age) or resistant to the disease and take this in consideration.

'''Goal of simulation''' :

Each tick the probability of a symptom being developed will be calculated. The probability will depend on certain parameters + the total activation of the neighbouring symptoms at the previous tick. These parameters will be the supposed connection between the nodes (slider), influences unrelated to the disease (slider; said age or other respiratory diseases) and the threshold of each symptom.

'''Method''' : NetLogo

==Investment decision maker==

'''Author''' : [[User:mico00|mico00]] 18:13, 18 December 2020 (CET)

'''Simulation''' : the user has a limited amount of income, and can put in is certain funds. using monte-Carlo simulation, I'd like the user to be able to spread his funds to certain portfolios. these are prone to different oscillations and behavior throughout time. this becomes essentially a game, where the user has the power to work with his money, with the goal to maximize his profits after 10 year period. each transaction is punished by a certain amount of money for time costs.

'''Goal of simulation''' : Main goal is to learn how to handle money in an environment of uncertainty

'''Method''' : google sheets (essentially excel)

:: This is too general. There were some simulations like that in the past, just look for them in previous years. For this kind of task you have to specify what precisely you will simulate, where you will get the data for it (you will derive the probability distributions from), and what new features does your simulation brings compared to the assignments done in the past at this course. The good real data are a must for the MonteCarlo simulation. [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 19:36, 18 December 2020 (CET)

==Lawn Mower Roboter==

'''Author''' : [[User:Justin adenau|Justin adenau]] ([[User talk:Justin adenau|talk]]) 19:42, 18 December 2020 (CET)

'''Simulation''' : The Simulation will show the movement and efficiency of a lawn mower robot in different environments (gardens) with different obstacles. It will take attributes like frequency of lawing, wished height of grass, duration of lawing and the power consumption into account. Different algorithms for the movement and the treatment of obstacles will be tried. The limit for the lawing could be a wished height with a defined deviation which is not allowed to be exceeded. The data for the power consumption and duration of lawing can be extracted from variuos providers.

'''Goal of simulation''' : Optimize the lawing frequency and selected lawing height, so that the power consumption is the lowest and the deviation of the wished height of the grass is not exceeded.

'''Method''' : NETLogo

==Retirement Planning==

'''Author''' : [[User:Louis|Louis]] ([[User talk:Louis|talk]]) 19:59, 18 December 2020 (CET)

'''Simulation''' : Investing in shares can contribute a great deal to old-age provision. Therefore, I would like to simulate the portfolio decision of a young family. They already have a portfolio of shares and plan to continue investing a fixed amount each year. The decision is to continue to invest in a fixed stock index (SP500) or to invest in a portfolio of 4 CTX stocks from now on.

Data Source: Yahoo Finance

'''Goal of simulation''' : The aim of the simulation is to compare the two portfolios and calculate their probable value in 30 years and what interest income the family can expect in 30 years.

'''Method''' : Excel / Monte Carlo

==Covid 19 - Contract Tracing ==

'''Author''' : [[User:Carolin|Carolin]] ([[User talk:Carolin|talk]]) 21:19, 18 December 2020 (CET)

'''Simulation''' : The Covid 19 global pandemic has an impact on all our lives. Especially the lockdowns in all countries - including the Czech Republic and Germany. The main goal of these lockdowns is to reduce the number of contacts so that contacts of infected people can be traced and chains of infection can be broken. In my simulation, I would like to show the impact of higher distances between people and the prohibition of large public events on the number of infected people.
Contacts with infected people are represented by links, infections are shown by recoloring of the agent. The simulation will show the effects when wearing masks and when not.By this the simulation shows the effect in reducing infections by keeping distance, banning mass events and wearing masks.

'''Data Source''': Data on infection incidence sufficiently available - use only scientific sources

'''Goal of simulation''' : Showing the importance of keeping distance and holding onto rules in a global pandemic, to show the impact everbody has in these times.

'''Method''' : Netlogo

==Evolution of retirement pay in the Czech Republic ==

'''Author''' : [[User:Syca00|Syca00]] ([[User talk:Syca00|talk]]) 22:13, 18 December 2020 (CET)

'''Simulation''' : Nowadays a lot of people say that the Czech Republic will have problems with the retirement pay in the future. So, I decided to create a simulation, which will show a prediction of average retirement pay in the Czech Republic for next 50 years. The average retirement pay depends on more factors and I decided to predict it depending on GDP, state debt, population, mortality and natality.

'''Data Source''': I will use data from mfcr.cz and czso.cz

'''Goal of simulation''' : The aim of the simulation is to predict the evolution of average retirement pay in the Czech Republic and to find out how much money people will get in the future.

'''Method''' : VensimPLE

Assignments WS 2020/2021

2020-12-18T22:57:19Z

Dobj02:

{{Ambox
| text = <div>
Please, put here your assignments. Do not forget to sign them. You can use <nowiki>~~~~</nowiki> (four tildas) for an automatic signature. Use Show preview in order to check the result before your final sumbition.
</div>
}}

{{Ambox
| text = <div>
Please, strive to formulate your assignment carefully. We expect an adequate effort to formulate the assignment as it is your semestral paper. Do not forget that your main goal is a research paper. It means your simulation model must generate the results that are specific, measurable and verifiable. Think twice how you will develop your model, which entities you will use, draw a model diagram, consider what you will measure. No sooner than when you have a good idea about the model, submit your assignment. And of course, read [[How to deal with the simulation assignment|How to deal with the simulation assignment]].
</div>
}}

{{Ambox
| text = <div>
Topics on gambling, cards, etc. are not welcome.
</div>
}}

{{Ambox
| type = content
| text = <div>
In order to avoid possible confusion, please, check if you have added '''approved''' in bold somewhere in our comment under your submission. If there is no '''approved''', it means the assignment was not approved yet.
</div>
}}

== Spread of 19-COVID ==
'''Author''' : [[User:Toscool|Toscool]] ([[User talk:Toscool|talk]]) 11:32, 11 December 2020 (CET)

'''Simulation''' : I will build a dynamic model of an epidemic his the dynamic issues. I will focus on the spread of Covid-19 in a population and Specially I will try to modelize the effect of a lockdown on the number of infections and deaths.
I will start with a susceptible population, with one infected people that infect 10 people with a certain probability. When you are infected you go the doctors and with a certain probability you go in the recovery population or in the hospital. Then you have a percentage of chance to die in this hospital or to recover. The lockdown will triggered when the ratio of people who where to the doctor and total population exceed a certain percentage. We lockdown and by reducing the number of people you infect in the beginning.

'''Goal of simulation''' : I aim to model the impact of a lockdown on the spread of COVID on a population. It will also show the difference between countries, for example if we lockdown too late. What will be the impact of these decisions.

'''Method''' : I will use VensimPLE for this simulation, as it is a dynamic system, and In my home university I know that I will need to use VensimPLE for a future project and course so it will help me a lot.

::The topic souds good - the question is, on what data sources will you base your simulation (equations) on? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 22:13, 12 December 2020 (CET)
:::I will use the case of Switzerland and use data from this website (https://corona-data.ch). I will try to reproduce the number of cases and the speed of the spread.[[User:Toscool|Toscool]] ([[User talk:Toscool|talk]]) 13:39, 13 December 2020 (CET)
::: OK. '''Approved''' but do not forget to include in the report for the simulation how you have derived the equations in the simulation from the data. [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 22:49, 14 December 2020 (CET)

== NFL Free Agency ==
'''Author''' : [[User:TimWalenczak|TimWalenczak]] ([[User talk:TimWalenczak|talk]]) 14:14, 18 December 2020 (CET)

'''Simulation''' : Free agency is a period during the off-season in the National Football League in the US. During that period, all 32 teams in the league can sign active players that have no contract with any other team, so-called free agents. The process goes as follows: at the beginning of free agency a certain amount of players become free agents due to expiring contracts. All players belong to one out of 8 position groups and want to receive a certain salary. Their starting position on the simulation grid is randomly assigned and they will move over the grid. The overall number of free agents is defined manually while they are randomly distributed over all position groups, as well as their desired salary, which is within a certain manually defined range. Whereas all the teams are looking for players from certain position groups and have a certain amount of money they can spend on them. The teams have fixed positions on the grid and do not move during the simulation. The maximum number of players a team is looking for is defined manually, while the desired position group is defined randomly from the list of position groups and the money to spend is randomly distributed over a certain manually defined salary range. When the simulation starts, the initial demand and supply ratio of a specific position is calculated and affects a player’s value. This means a player’s desired salary rises or decreases due to that demand and supply ratio. During the simulation players move over the grid. Players and teams get in touch when they are located next to each other. When a team’s position group needs matches the player’s position group and a player’s salary fits the money a team offers, the team signs this player and he disappears from the free agency market (turtle dies). If the offer doesn’t fit the need, a player walks on to the next team (turtle takes a random angle turn and walks until it approaches another team). Each team can negotiate only with one player at a time, and vice versa. With every round/tick/signing the demand and supply ratio is recalculated and the desired salary of all players in each position group changes and so does the amount of money teams are able to spend on further players (assuming they just signed a player). Free agency ends after a distinct number of ticks or even earlier if there are no more players left or teams do not have any money left to spend.

'''Goal of simulation''' : is to find out how a player’s value changes during the period of free agency. Especially interesting is, whether players that sign a new contract early in the period received higher payments or the ones signing late in the period. Maybe a certain strategy can be deducted for players depending on their initial demand and supply ratio in order to reach a highly paid contract.

'''Method''' : Since I don’t know VensimPLE yet, I think I will use NetLogo, because I see some similarities between my case and the “Market Structure” case we modelled recently.

: It is a bit unusual, but I can see something in common rather with Market Structure than with Building Escape. Please, just elaborate it into a greater detail and specify, how exactly should your simulation work. I am not sure you have a coherent idea about the solution. But if you work this out, I don't see a problem. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 21:45, 11 December 2020 (CET)

: Yeah you are right I meant the Market Structure, sorry for the confusion! Okay, I updated the description above trying to go more into details. [[User:TimWalenczak|TimWalenczak]] ([[User talk:TimWalenczak|talk]]) 14:14, 18 December 2020 (CET)

==COVID-19 mass testing==

'''Author''' : [[User:Milan P|Milan P]] ([[User talk:MilanP|talk]]) 20:15, 13 December 2020 (CET)

'''Simulation''' : I will create simulation for mass Covid-19 testing in Slovakian village or small city. In previous rounds of this real mass testing in Slovakia testing itself took place in one day and in one sampling point, this will be the same with this simulation. In this model roles (medical staff, administrative workers, and police officer), will have assigned costs to them in order to include financial aspect into the simulation. Duration of the simulation will be 4 hours. This will serve as base model which will be adjusted in two ways. Firstly, I will create another model in which I will duplicate sampling point so 2 sampling points will be in simulation. Second adjustment to the base model will be that simulation time will be prolongated to 8 hours. After running all 3 models, outputs will be compared and the optimal one will be selected.

'''Goal of simulation''' : In the previous rounds of COVID-19 mass testing in Slovakia certain sampling points had experienced massive overload and were not prepared for the amount of citizens incoming to be tested. Therefore, this simulation would aim to simulate the scenario with data from previous testing rounds and might be helpful if the governments decides to repeat mass testing again.

'''Method''' : Discrete simulation - SIMPROCESS

: The topic looks generaly good, my only concern is that is could be too simple. What steps of the model do you plan? Where do you obtain the real data? [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 02:54, 17 December 2020 (CET)

: I plan to obtain data from this site https://www.svidnik.sk/oznamy/druhe-kolo-plosneho-testovania-vysledky.html - on this website number of patients to be tested and number of points/places that take samples can be found. I know that each point/place has to have: 1 healthcare worker, 2 administrative workers and 1 police officer. Data about hourly rate can be obtained from this site: https://www.platy.sk/platy. Maybe I would like to adjust my original proposal, there would not be 1 point/place taking samples but 9 and I would create another simulation for more or less points/places. Generally I like the idea of splitting patients into two groups and I might include that in my simulation as well. One would consist of people older than 60 and the other one would consist of the rest of population. I will split the population according to demographic structure of Slovakia https://sk.wikipedia.org/wiki/Demografia_Slovenska#Vekov%C3%A1_%C5%A1trukt%C3%BAra. Steps I can think of right now: Patients entering, splitting the patients, administrative work, waiting, taking samples, waiting, receiving results, again splitting patients based on the results (negative ones can go home with certificate and positive ones would require additional steps like receiving information what to do next etc.) and the the simulation would end. [[User:Milan P|Milan P]] ([[User talk:MilanP|talk]]) 00:05, 18 December 2020 (CET)

==Nanorobots vs. Cancer==

'''Author''' : [[User:Dufa00|Dufa00]] 20:24, 14 December 2020 (CET)

'''Simulation''' : Simply put: I want to simulate human body environment, where cancer is going to spread, but can be cured via nanorobotics. At the begining, observer will adjust parametres that will state the chance of cancer (bad vs. good life style etc.). Then the simulation of cancer will happen. With assigned button, observer can deploy nanorobots (which feed on the cancer) and watch how the robot or robots manage to heal the human body from cancer. If the observer does not press the deploy button, the human body will eventually succumb to the disease. I am still thinking about puting there a little twist, danger that comes with puting nanorobots into human body to see, if the treatment is worth the risk or not.

'''Goal of simulation''' : Main goal is to highlight the potential effectiveness of nanorobots. Sidequest might be to compare pros and cons that come along with deployment of the nanorobots.

'''Method''' : NetLogo

: An interesting idea. Unfortunately, because this is completely unrealistic, you cannot work with any reasonable data and it means that you are not able to prove the meaningfulness of the results. Please suggest something else. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 03:04, 17 December 2020 (CET)

==Widening the spread between rich and poor==

'''Author''' : [[User:Sára|Sára]] 21:00, 14 December 2020 (CET)

'''Simulation''' : After 2007-9 world economic crisis a new monetary policy, rather unconventional, was established to escape recessions/depressions. It is called quantitative easing. Although this tool succeeded in reverting the depression and proved helpful during coming years, it is highly discussed what side effects this tool has. A lot of researches suggest that it widens the gap between rich and poor people and make prices of bonds and stocks highly overheated.

'''Goal of simulation''' : Based on macroeconomics theory and semantic experiences from quantitative easing and its influence on other macroeconomic agents like interest rate, inflation, monetary supply etc., i would like to simulate behavior of banks and people during quantitative easing and i would like to work with different values of macroeconomic agents and bank and people behavior in order to try to find out whether widening the spread between rich and poor is an unevitable effect, whether it is sustainable in long term and whether they are possibilities how to erase this side effect.

'''Method''' : NetLogo

: I like the topic (although quantitative easing is just an eufemism for money printing, hence the implications are quite predictable). Before I finally approve, please elaborate it deeper. How exactly you will simulate, what will be the agents, what will they do, etc. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 02:47, 17 December 2020 (CET)

: Agents will be banks and people, until now quantitative easing is been applied always in the situation when interest rates were low for example, it makes people more willing to borrow but banks less willing to lend so idea behind my research is to simulate the process of quantitative easing under different circumstances than it is normally. According to different circumstances i will change people's and banks's behaviors according to macroeconomics theory and empirical knowledge. Is that deep enough? [[User:Sára|Sára]] ([[User talk:Sára|talk]]) 21:01, 18 December 2020 (CET)

==Rhino population in Africa==

'''Author''' : [[User:Michal F.|Michal F.]] ([[User talk:Michal F.|talk]]) 17:23, 15 December 2020 (CET)

'''Simulation''' : Rhinos once roamed many places in Europe, Asia, and Africa. At the beginning of the 20th century, about 500 000 rhinos roamed Africa and Asia. By 1970, rhino numbers dropped to 70,000, and today, around 27,000 rhinos remain in the wild. Africa's rhino population could face extinction within 10 years, animal welfare experts have warned. South Africa has the largest population of the species in the world however, the species still remains under threat from poaching for its horn and from habitat loss and degradation.
Data: http://www.rhinoresourcecenter.com/pdf_files/119/1192816187.pdf, http://www.scielo.org.za/pdf/koedoe/v59n1/15.pdf, https://rhinos.org/about-rhinos/rhino-species/black-rhino/

'''Goal of simulation''' : Based on the available data, I would like to simulate future development of the rhino population (probably the black ones in Africa, cause its most documented). The population is threatened by poaching and the loss of the natural environment. The shrinking population increases people's efforts to protect it from poachers but increases the demand for rhino horns.

'''Method''' : VensimPLE / Insight Maker

:: Topic is interesting. Can you specify the simulation in more detail - what would be the input parameters, variables, what all factors, that have an influence on rhino population, will be incorporated? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 14:55, 16 December 2020 (CET)

==Garbage collection==

'''Author''' : [[User:Dobj02|Dobj02]] ([[User talk:Dobj02|talk]]) 23:07, 16 December 2020 (CET)

'''Simulation''' : My aim is to simulate garbage collection in a city from the city counciler's point of view. I will focus on 3 main standpoints, specifically Waste production, Waste collection and Waste processing. The amount of produced waste is dependent on the population of the city and the rate of waste production of 1 person per day. Waste collection will be dependent on the amount of garbage trucks and their capacity. The number of employees (drivers and garbage collectors) will also play a role in how many trucks per day can be deployed. The final standpoint, Waste processing, consists of waste incineration and recycling. Incineration and recycling facilities can process different amount of waste per day. The scope of simulation can be either in weeks or months.

'''Goal of simulation''' : Finding balance between the amount of produced waste and its disposal by regulating the number of employees, trucks, their capacity, and the number of facilities which can either incinerate or recycle waste depending on the type of waste. The population of the city and the waste production of 1 person will be also adjustable.

'''Method''' : VensimPLE

::Sounds complex (maybe too complex) - but on what real data will you base the above described simulation on, so that the results would make sense? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 08:14, 18 December 2020 (CET)

Upon further reevaluation I propose to make the model simpler by crossing out the Waste collection standpoint, so there will be Waste production and Waste processing left. On these standpoints I found a valuable source of data: https://www.mzp.cz/cz/odpady_podrubrika . Also, thanks to the available data from 2009 to 2019 I could model the probable evolvement of waste production and waste processing either in Prague or the Czech republic.

==Financial budget of football club==

'''Author''' : [[User:netp02|netp02]] ([[User talk:netp02|talk]]) 22:30, 17 December 2020 (CET)

'''Simulation''' :

The purpose of this simulation is to simulate important financial aspects of the football club. How much sponsors, players, transfers of players, money for tickets, number of sold club´s souvenir influence the budget of the clubs.

'''Goal of simulation''' :

Finding a balance between incomes and expenses, so the football club could work without any money donation from owner of the club.

'''Method''' : VensimPLE

:: On what real data will you base the above described simulation on, so that the results of your simulation would make sense? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 08:16, 18 December 2020 (CET)

:: I would take data from football club Slavia Prague, which announce almost all data for publicity. What it be possible to do it like that?
[[User:netp02|netp02]] ([[User talk:netp02|talk]]) 12:01, 18 December 2020 (CET)
::From the public data you cannot get know-how how a football club works on inside and therefore you cannot build complete system model with its feedback loops. If you would map only the financial flows, the system dynamics is no good for that and the result would be some kind of calcualtion, but not a simulation. I would suggest to try something else.[[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 19:27, 18 December 2020 (CET)

==IT Team simulation==

'''Simulation:'''

I would like to create a simulation, which is based on a Process Diagram and which would describe the process of solving business requirements within the IT team in which I now work. The simulation would show the entire course of the process from the origin of the request to the passage of all phases To Develop - Code review - Testing - Acceptance - UAT - Done.

'''Goal:'''

By simulation, I would deal with limited resources and limited specialization in the team. The goal would be to find out how many requests and in what rhythm our team would be able to deliver. As for the data basement - It would be based on the situation for the last two months. We solve projects in Jira and so I would be able to calculate how long the request lasted and when it returned to the previous stages + some average morbidity of team members, etc.

'''Method:''' SimProcess simulation

==COVID 19 symptoms==

'''Author''' : [[User:Stek15|Stek15]] ([[User talk:Stek15|talk]]) 11:31, 18 December 2020 (CET)

'''Simulation''' :

The model will represent COVID 19. The nodes in the model will represent the common symptoms of COVID 19. According to the World Health Organisation (WHO, 2020) there are 8 common symptoms: fever, dry cough, fatigue, shortness of breath, loss of appetite, confusion, persistent pain or pressure in the chest, high temperature (above 38 °C). The symptoms of said disease are thought to have direct causal relations with one another. If a person develops a symptom of COVID 19 (e.g. shortness of breath), this increases the likelihood of them developing other symptoms (e.g. loss of appetite, fever). Similarly, if one symptom disappears, the others might as well. The greatest danger is present for people vulnerable to the disease. The model will predict whether a person is vulnerable (due to high age) or resistant to the disease and take this in consideration.

'''Goal of simulation''' :

Each tick the probability of a symptom being developed will be calculated. The probability will depend on certain parameters + the total activation of the neighbouring symptoms at the previous tick. These parameters will be the supposed connection between the nodes (slider), influences unrelated to the disease (slider; said age or other respiratory diseases) and the threshold of each symptom.

'''Method''' : NetLogo

==Investment decision maker==

'''Author''' : [[User:mico00|mico00]] 18:13, 18 December 2020 (CET)

'''Simulation''' : the user has a limited amount of income, and can put in is certain funds. using monte-Carlo simulation, I'd like the user to be able to spread his funds to certain portfolios. these are prone to different oscillations and behavior throughout time. this becomes essentially a game, where the user has the power to work with his money, with the goal to maximize his profits after 10 year period. each transaction is punished by a certain amount of money for time costs.

'''Goal of simulation''' : Main goal is to learn how to handle money in an environment of uncertainty

'''Method''' : google sheets (essentially excel)

:: This is too general. There were some simulations like that in the past, just look for them in previous years. For this kind of task you have to specify what precisely you will simulate, where you will get the data for it (you will derive the probability distributions from), and what new features does your simulation brings compared to the assignments done in the past at this course. The good real data are a must for the MonteCarlo simulation. [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 19:36, 18 December 2020 (CET)

==Lawn Mower Roboter==

'''Author''' : [[User:Justin adenau|Justin adenau]] ([[User talk:Justin adenau|talk]]) 19:42, 18 December 2020 (CET)

'''Simulation''' : The Simulation will show the movement and efficiency of a lawn mower robot in different environments (gardens) with different obstacles. It will take attributes like frequency of lawing, wished height of grass, duration of lawing and the power consumption into account. Different algorithms for the movement and the treatment of obstacles will be tried. The limit for the lawing could be a wished height with a defined deviation which is not allowed to be exceeded. The data for the power consumption and duration of lawing can be extracted from variuos providers.

'''Goal of simulation''' : Optimize the lawing frequency and selected lawing height, so that the power consumption is the lowest and the deviation of the wished height of the grass is not exceeded.

'''Method''' : NETLogo

==Retirement Planning==

'''Author''' : [[User:Louis|Louis]] ([[User talk:Louis|talk]]) 19:59, 18 December 2020 (CET)

'''Simulation''' : Investing in shares can contribute a great deal to old-age provision. Therefore, I would like to simulate the portfolio decision of a young family. They already have a portfolio of shares and plan to continue investing a fixed amount each year. The decision is to continue to invest in a fixed stock index (SP500) or to invest in a portfolio of 4 CTX stocks from now on.

Data Source: Yahoo Finance

'''Goal of simulation''' : The aim of the simulation is to compare the two portfolios and calculate their probable value in 30 years and what interest income the family can expect in 30 years.

'''Method''' : Excel / Monte Carlo

==Covid 19 - Contract Tracing ==

'''Author''' : [[User:Carolin|Carolin]] ([[User talk:Carolin|talk]]) 21:19, 18 December 2020 (CET)

'''Simulation''' : The Covid 19 global pandemic has an impact on all our lives. Especially the lockdowns in all countries - including the Czech Republic and Germany. The main goal of these lockdowns is to reduce the number of contacts so that contacts of infected people can be traced and chains of infection can be broken. In my simulation, I would like to show the impact of higher distances between people and the prohibition of large public events on the number of infected people.
Contacts with infected people are represented by links, infections are shown by recoloring of the agent. The simulation will show the effects when wearing masks and when not.By this the simulation shows the effect in reducing infections by keeping distance, banning mass events and wearing masks.

'''Data Source''': Data on infection incidence sufficiently available - use only scientific sources

'''Goal of simulation''' : Showing the importance of keeping distance and holding onto rules in a global pandemic, to show the impact everbody has in these times.

'''Method''' : Netlogo

==Evolution of retirement pay in the Czech Republic ==

'''Author''' : [[User:Syca00|Syca00]] ([[User talk:Syca00|talk]]) 22:13, 18 December 2020 (CET)

'''Simulation''' : Nowadays a lot of people say that the Czech Republic will have problems with the retirement pay in the future. So, I decided to create a simulation, which will show a prediction of average retirement pay in the Czech Republic for next 50 years. The average retirement pay depends on more factors and I decided to predict it depending on GDP, state debt, population, mortality and natality.

'''Data Source''': I will use data from mfcr.cz and czso.cz

'''Goal of simulation''' : The aim of the simulation is to predict the evolution of average retirement pay in the Czech Republic and to find out how much money people will get in the future.

'''Method''' : VensimPLE

Assignments WS 2020/2021

2020-12-16T22:16:36Z

Dobj02: /* Garbage collection */

Assignments WS 2020/2021

2020-12-16T22:15:00Z

Dobj02: /* Garbage collection */

Assignments WS 2020/2021

2020-12-16T22:12:41Z

Dobj02: /* Garbage collection */

Assignments WS 2020/2021

2020-12-16T22:09:28Z

Dobj02: