Difference between revisions of "Assignments WS 2019/2020"
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:: [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 22:13, 11 December 2019 (CET) What data will you build (derive the equations) your simulation on? | :: [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 22:13, 11 December 2019 (CET) What data will you build (derive the equations) your simulation on? | ||
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+ | :: [[User:Simm04|Simm04]] ([[User talk:Simm04|talk]]) 20:02, 12 December 2019 (CET) I would use available dataset from https://www.nature.com/articles/s41598-017-14271-6#Sec16 |
Revision as of 20:03, 12 December 2019
Please, put here your assignments. Do not forget to sign them. You can use ~~~~ (four tildas) for an automatic signature. Use Show preview in order to check the result before your final sumbition. |
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. |
Topics on gambling, cards, etc. are not welcome. |
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. |
Contents
Simulation Proposal - Orders completion in a warehouse
We need to optimize number of warehouse workers and packaging stations in a warehouse with cca 20 000 different products stored. There are workers that work on picking the products for orders from stock positions and there is also one worker per packaging station assigned. Picking products for one regular order takes 15 minutes on average and for one B2B order takes 90 minutes on average. Packaging one regular order takes 2 minutes on average and B2B order takes 45 minutes on average. Ratio of regular to B2B orders is 25:1. We want to find out optimal set up of number of workers and packaging stations.
Title: Orders completion in a warehouse
Author: Ján Káva
Model type: Discrete event
Modeling tool: Simprocess
Simulation Proposal - Santa Clause Elves & Scattered Gifts
This simulation is inspired by couple of animation movies from my childhood. Imagine, sleigh of the Santa crashed and all the gifts scattered. Elves try to move around and calculate all the gifts by moving to the sleigh. So, each elf moves randomly until he will found a gift, then he carries the gift to the sleigh. After he will put gift into sleigh he will perform operations again. The process will continue until all the gifts will be in sleigh.
Title:Santa Clause Elves & Scattered Gifts
Author: Ibrahim Aghazada
Model type: Multi Agent
Modeling tool: NetLogo
Simulation Proposal - Atlantic Bluefin Tuna Population
The population of tuna worldwide is decreasing due to being overfished. Yet some studies claim, that overfishing is not the main cause of the tuna population reduction. Christelle Ravier and Jean-Marc Fromentin in their paper "Long-term fluctuations in the eastern Atlantic and Mediterranean bluefin tuna population" came to the conclusion that the bluefin tuna population may be influence by biotic and environmental factors more than by overexploitation. This simulation will use available data of population size, juvenile death, environmental influences, fishing statistics and other to investigate whether overfishing is the main culprit for bluefin tuna population decline.
Title: Atlantic Bluefin Tuna Population
Author: Petra Vokálová, Vokp00 (talk) 07:43, 9 December 2019 (CET)
Model type: Stock and flow diagram
Modeling tool: Vensim
- Oleg.Svatos (talk) 22:09, 11 December 2019 (CET) Approved. Make sure that you describe in detail in the report, how you have derived the equations from the available data (proving so that they are based on relevant data).
Simulation Proposal - Crop Rotation in sustainable farming
Crop rotation is based on growing a series of different types of crops in the same area in sequential seasons. The planned rotation may vary from a growing season to a few years or even longer periods. It is one of the most effective agricultural control strategies that is used in preventing the loss of soil fertility. It also helps in reducing soil erosion and increases crop yield. Planning an effective crop rotation requires weighing fixed and fluctuating production circumstances: market, farm size, labor supply, climate, soil type, growing practices, etc. In this simulation I will try to find parameters which have impact on the whole process of crop rotation with goal to find model providing desired outputs - high soil fertility, low soil erosion, good quality crops, high crop field and therefore higher revenue.
Title: Crop Rotation in sustainable farming
Author: Michal Šimánek, Simm04 (talk) 20:33, 10 December 2019 (CET)
Model type: Stock and flow diagram
Modeling tool: Vensim
- Oleg.Svatos (talk) 22:13, 11 December 2019 (CET) What data will you build (derive the equations) your simulation on?
- Simm04 (talk) 20:02, 12 December 2019 (CET) I would use available dataset from https://www.nature.com/articles/s41598-017-14271-6#Sec16