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Decision Support for Choosing an Appropriate Simulation Method for Dynamic Material Flow Analysis

Markus P. Roessler, Joshua Riemer, and Maximilian Mueller
Institute of Production Management, Technology and Machine Tools (PTW), Technische Universitaet Darmstadt, 64287 Darmstadt, Germany

Abstract—When improving industrial process chains in terms of productivity it is becoming more and more important to not only consider the static, but also the dynamic behavior of value streams. The effects of intended changes on production systems often are unknown and could underlie vast variations due to the planned outcome. In order to validate such changes before implementation, the use of material flow simulation is widely discussed in research and industrial practice. Such optimization projects usually require the collaboration of production system and simulation experts. Through the increased dissemination of various simulation tools on the market as well as multiple simulation methods available (discrete event, agent based and system dynamics) the actual selection of a suitable simulation setting is a challenging task. To support such optimization teams in the selection of an appropriate simulation method a decision making approach based on comparative criteria is shown and discussed in this article, concluding with a case study.

Index Terms—material flow simulation, production system, decision support, discrete event simulation, agent based simulation, system dynamics

Cite: Markus P. Roessler, Joshua Riemer, and Maximilian Mueller, "Decision Support for Choosing an Appropriate Simulation Method for Dynamic Material Flow Analysis," Journal of Industrial and Intelligent Information, Vol. 3, No. 4, pp. 337-341, December 2015. doi: 10.12720/jiii.3.4.337-341
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