Of Stocks, Flows, Agents and Rules — “Strategic” Simulations in Supply Chain Research

Andreas Größler () and Nadine Schieritz ()
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Andreas Größler: Industrieseminar der Universität Mannheim
Nadine Schieritz: Industrieseminar der Universität Mannheim

A chapter in Research Methodologies in Supply Chain Management, 2005, pp 445-460 from Springer

Abstract: Summary Simulation offers a middle ground between pure formal modeling, empirical observation and experiments for strategic issues in supply chain research. Although simulation models are formally specified, they are not limited to analytically solvable equation systems. Additionally, simulation approaches provide the possibility to include estimations of not easily measurable “soft” factors. The inclusio such variables increases the real world relevance of simulation studies, similar to empirical investigations. Thus, strategic simulation experiments try to combine the clarity and generality of mathematical modeling with the practical relevance and external validity of empirical research. The approach is demonstrated by a combination of system dynamics and agent-based simulation, two approaches that achieved high significance for the modeling and simulation of socio-economic systems. With the help of a simulation prototype we are able to test the stability of supply chain structures under different levels of uncertainty regarding future events, particularly changing demand.

Keywords: Supply Chain Management; Simulation; System Dynamics; Agent-Based Modeling (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1636-5_29

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DOI: 10.1007/3-7908-1636-1_29

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