Assignments WS 2019/2020

Simulation Proposal - Shopping Centre Management

Each store in a shopping centre pays rent to the shopping centre landlord. Final rent that a store has to pay is calculated as a sum of fixed rent and percentage rent (based on a percentage of store sales). A company that manages shopping centres is profitable when all tenants of the centre are profitable. Sales among tenants are distributed by normal distribution with one outlier, which has double the sales of the second best. This tenant is typical for each shopping centre and is called an anchor tenant. Usually it is a hypermarket. The managing company has services costs, maintenance costs, marketing costs, which are distributed among the tenants in addition to rent. If a tenant can't afford to pay rent + costs, he will terminate lease and managing company loses profit from rent. Other variables affecting the profit are for example footfall of the centre (number of visitors), number of stores, size of the store, conversion ratio (ratio of people walking in to people buying something), average basket (average money spent per customer), anchor tenant sales ratio to all sales, average length of lease, percentage rent, risk of a tenant going out of business. Since getting sales data of each tenant in a shopping centre is not possible (confidential information), I will build the model with a reasonable deal of abstraction on freely available financial data and retail reports about shopping centers. I will study what percentage rent and fixed rent per square meter should the managing company employ to increase the probability of staying profitable in long term.

Title: Shopping Centre Management

Author: Dominik Tkáč, TKAD01 (talk) 00:00, 13 December 2019 (CET)

Model type: Stock and flow diagram

Modeling tool: Vensim

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 - Black Friday Walmart Simulation

Various items in Walmart store have different values for customers and therefore are sought out by more agents. Agents (customers) decide whether to try to get the item based on the number of people already on the way to the item and also based on distance from the item. Agents try to get as much value in items, pay for them and get out before the store closes.

Title: Black Friday Walmart Simulation

Author: VÁclav Pleskač, plev00, 13 December 2019

Model type: Multi Agent

Modeling tool: Netlogo

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

Oleg.Svatos (talk) 22:00, 12 December 2019 (CET) OK. 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).