Iterative Optimization-based Simulation |
Decision Support for Adjustments in Complex Production and Logistics Systems
| Journal | Industrie 4.0 Management |
| Issue | Volume 37, 2021, Edition 1, Pages 63-66 |
| Open Access | https://doi.org/10.30844/I40M_21-1_S63-66 |
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Abstract
Simulation is frequently used for prediction of the outcome of adjustments in production systems. Real decision processes must be represented in the simulation. To achieve this, complex real decision processes have to be transferred into the simulation. This leads to a high effort for the creation of simulation models. This is resolved by the concept of iterative optimization-based simulation. Instead of transferring complex decision processes into the simulation, the predicted parameters are exported and existing decision processes determine a solution.
Keywords
discrete event simulation, optimization-based simulation, production facility planning, production planning
Bibliography
[1] Law, A.: Simulation Modeling and Analysis. New York (2015).[2] Steven, M.: Hierarchische Produktionsplanung. Heidelberg (1994).
[3] Verein Deutscher Ingenieure: VDI-Richtlinie 3633 Blatt 12: Simulation von Logistik-, Materialfluss- und Produktionssystemen. Berlin (2020).
[4] März, L. u. a. (Hrsg.): Simulation und Optimierung in Produktion und Logistik. Berlin, Heidelberg (2011).
[5] Figueira, G.; Almada-Lobo, B.: Hybdrid Simulation-Optimization Methods: A Taxonomy and Discussion. In: Simulation Modelling Practice and Theory 46, S. 118-134 (2014).
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Solutions: Production Planning
