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

In: Research Methodologies in Supply Chain Management

Author

Listed:
  • Andreas Größler

    (Industrieseminar der Universität Mannheim)

  • Nadine Schieritz

    (Industrieseminar der Universität Mannheim)

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.

Suggested Citation

  • Andreas Größler & Nadine Schieritz, 2005. "Of Stocks, Flows, Agents and Rules — “Strategic” Simulations in Supply Chain Research," Springer Books, in: Herbert Kotzab & Stefan Seuring & Martin Müller & Gerald Reiner (ed.), Research Methodologies in Supply Chain Management, pages 445-460, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1636-5_29
    DOI: 10.1007/3-7908-1636-1_29
    as

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