4 - Simulation modelling and analysis Contents: 1. Simulation in logistics 2. Discrete event simulation 3. System dynamics 4. Agent-based simulation 5. Network simulation 6. Logistics simulation projects Competences: 1. Understanding of the role of simulation modelling in logistics. 2. Understanding of the different simulation methods in logistics applications. Skills: 1. Choosing the right simulation method for the problem at hand. 2. Identifying the relevant key performance indicators. 3. Application of the DFSS approach to simulation modelling and analysis in logistics. Goals: 1. Setting up and performing a simulation project. Literature: Conant R.C. and Ashby W.R. (1970). Every good regulator of a system must be a model of that system, Int. J. Systems Sci., 1(2), pp. 89-97. Gumzej, R. and Rakovska, M. (2020). Simulation modeling and analysis for sustainable supply chains. In Ecoproduction – Sustainable logistics and production in industry 4.0 : new opportunities and challenges, Grzybowska, K., Awasthi, A., Sawhney, R. (ed.). Springer Nature, pp. 145-160. Šinko, S. and Gumzej, R. (2021). Towards smart traffic planning by traffic simulation on microscopic level. International journal of applied logistics, 11(1), pp. 1-17. JaamSim Development Team (2023). JaamSim: Discrete-Event Simulation Software. Version 2023-08. [Available at: https://jaamsim.com , access November, 8th 2023] Wilensky, U. (1999). NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. [Available at: http://ccl.northwestern.edu/netlogo/ , access November, 8th 2023] Pablo A.L., Behrisch, M., Bieker-Walz, L., Erdmann, J., Flötteröd, Y.-P., Hilbrich, R., Lücken, L., Rummel, J., Wagner, P. and Wießner, E. (2018). Microscopic Traffic Simulation using SUMO. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE. The 21st IEEE International Conference on Intelligent Transportation Systems, 4.-7. Nov. 2018, Maui, USA, pp. 2575-2582.