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Simulation‐Based Strategic Decision Support in Uncertain Supply Chain Systems
Author(s) -
Hellenkamp T.
Publication year - 2016
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201650415
Subject(s) - citation , operations research , supply chain , management , library science , engineering , computer science , business , marketing , economics
Making decisions in integrated production and supply chain systems is a complex task. This task is getting even more complicated if several uncertain influences, like failures, maintenance, and environmental boundaries, affect the plant operations and logistics on different time scales. For this reason, material flow simulation is applied as a strategic tool to support the decision making process. Within material flow analysis, the single operational units and material streams are modeled on a rough level, barely taking detailed thermodynamics into account. This low-detail modeling level enables to simulate long term plant operation and material logistics (1-5 years) within reasonable computing time. To demonstrate the potential of material flow simulation, an industrial case study will be presented, highlighting several aspects how decision making processes can be supported.