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A case study for simulation and optimization based planning of production and logistics systems

 
: Sobottka, T.; Kamhuber, F.; Henjes, J.; Sihn, W.

:

Chan, W.K. ; Association for Computing Machinery -ACM-, Special Interest Group on Simulation; American Statistical Association -ASA-; Gesellschaft für Informatik -GI-, Fachausschuss Simulation; IEEE Systems, Man and Cybernetics Society -SMC-; Institute of Industrial & Systems Engineers -IISE-; Simulation Society; National Institute of Standards and Technology -NIST-; Society for Modeling and Simulation International -SCS-:
Winter Simulation Conference: WSC turns 50: Simulation everywhere! WSC 2017 : December 3-6, 2017, Red Rock Casino Resort & Spa, Las Vegas, NV
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-3428-8
ISBN: 978-1-5386-3249-5
ISBN: 978-1-5386-3430-1
S.3495-3506
Winter Simulation Conference (WSC) <2017, Las Vegas/Nev.>
Englisch
Konferenzbeitrag
Fraunhofer Austria ()

Abstract
This paper introduces a practical approach for the comprehensive simulation based planning and optimization of the production and logistics of a discrete goods manufacturer. Although simulation and optimization are well-established planning aides in production and logistics, their actual application in the field is still scarce, especially in small and medium-sized enterprises (SMEs). This is largely due to the complexity of the planning task and lack of practically applicable approaches for real-life planning scenarios. This paper provides a case study from the food industry, featuring a comprehensive planning approach based on simulation and optimization. The approach utilizes an offline-coupled multilevel simulation to smooth production and logistics planning via optimization, to optimally configure the production system using discrete-event simulation and to optimize the logistics network utilizing an agent-based simulation. The connected simulation and optimization modules can enhance the production logistics significantly, potentially providing a reference approach for similar industry applications.

: http://publica.fraunhofer.de/dokumente/N-518553.html