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Simultaneous worker assignment and order release in a dual resource constrained (DRC) job shop: A feasibility study
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Simultaneous worker assignment and order release in a dual resource constrained (DRC) job shop: A feasibility study
VerfasserHöltl, Korbinian
Begutachter / BegutachterinnenHäussler, Stefan
Betreuer / BetreuerinnenHäussler, Stefan
Erschienen2018
HochschulschriftInnsbruck, Univ., Masterarb., 2018
Datum der AbgabeJanuar 2018
SpracheEnglisch
DokumenttypMasterarbeit
Schlagwörter (DE)DRC job shop / Arbeiterzuweisung / Auftragsfreigabe / Simulation / FlexSim
Schlagwörter (EN)DRC job shop / Worker Assignment / Order Release and Review / Simulation / FlexSim
URNurn:nbn:at:at-ubi:1-21611 Persistent Identifier (URN)
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 Das Werk ist frei verfügbar
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Simultaneous worker assignment and order release in a dual resource constrained (DRC) job shop: A feasibility study [3.2 mb]
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Zusammenfassung (Englisch)

The focus of this master thesis is the simulation of a dual resource constrained (DRC)job shop problem. Especially the different objective of simultaneously used rules proves to be an interesting research gap. How Order Release and Review (ORR) rules and Worker assignment rules interact is the main objective. While ORR rules try to balance the workload, not only of incoming orders, but also within the shop floor, some worker assignment rules try to minimize transfers and consequently exhaust stations completely, before releasing an operator. This creates imbalances within the shop that influence the ORR rules.

Which one of the tested rules is dominant in such a case, is the primary focus of the study. Furthermore a simulation model is created with FlexSim (version 17.2.3) to be easily adjusted to changing demands. In order to demonstrate this, a second model with changed shop and job characteristics is introduced to test the same rules, with the aim to confirm test results of the first simulation model under different circumstances.

The test results of this feasibility study demonstrate the importance of ORR rules, which is the dominant factor over all tested scenarios. But also the use of the right set of When and Where assignment rules can improve the performance of a DRC system.

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