Mesoscopic supply chain simulation |
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| Affiliation: | 1. Otto-von-Guericke University Magdeburg, Germany;2. Fraunhofer Institute for Factory Operation and Automation IFF, Germany;1. Mechanical Engineering Department, SLIET Deemed University, Longowal, Sangrur, Punjab, INDIA;2. Department of Mechanical Engineering, Delhi Technological University, Delhi-110042, INDIA;1. Department of Management, Economics and Industrial Engineering (DIG), Politecnico di Milano, Italy;2. Institute of Technology, Carlo Cattaneo University – LIUC, Italy;1. LAC, Laboratorio de Automatización y Control, Departamento de Control, Facultad de Ciencias Exactas, Ingeniería y Agrimensura, Universidad Nacional de Rosario, Ríobamba 245 Bis, S2000EKE Rosario, Argentina;2. CONICET – Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina;1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States;2. Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States |
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| Abstract: | This paper reviews and compares existing approaches for supply chain modeling and simulation and applies the mesoscopic modeling and simulation approach using the simulation software MesoSim, an own development. A simplified real-world supply chain example is modeled with discrete event, mesoscopic and system dynamics simulation. The objective of the study is to compare the process of model creation and its validity using each approach. The study examines advantages of the mesoscopic approach for the simulation. Major benefits of the mesoscopic approach are that modeling efforts are balanced with the necessary level of detail and facilitate quick and simple model creation and simulation. |
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| Keywords: | Supply chain management Supply chain simulation Mesoscopic simulation |
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