![]() ![]() Create custom agent and define rules for order arrival, waiting, and processing: usage of time functions and resource pools Step 3. Business Simulation Game Capacity flexibility simulation with AnyLogic Learning objectives Problem statement Model building Step 1. Playing the game Game rules Round # Round # Round #2: Optimization experiment Round #2: Optimization-based simulation experiment: multiple objective decision making Rounds #3-#10 and game evaluation Further possible extensions and other games Part II Capacity flexibility simulation 7. ![]() Collecting statistics and KPI dashboard design Revenue, costs, profit Capacity utilization Lead time and flow time Backlog and queue analysis Experiments and managerial insights Experiment Experiment Experiment Extensions How to introduce the time limits for waiting in the queue Interface creation for playing the game: views, sliders, parameters, variables, functions, and events Views Parameters Variables Functions Events Sliders KPI dashboard creation Resourcesģ 5. Business Simulation Game Process capacity analysis and workload balancing with AnyLogic Learning objectives Problem statement Model building Step 1. ![]() 5 Part I Process capacity analysis and workload balancing 1. E-textbook, Berlin School of Economics and Law (preprint). Operations and supply chain simulation with AnyLogic 7.2: Decision-oriented introductory notes for master students. Dmitry Ivanov Berlin School of Economics and Law Professor for Supply Chain Management To be cited as: Ivanov D. 1 Operations and Supply Chain Simulation with AnyLogic 7.2 Decision-oriented introductory notes for management students in master programs Prof. ![]()
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