Joint multi-objective master production scheduling and rolling horizon policy analysis in make-to-order supply chains

This research studies multi-objective master production schedule (MPS) and advanced order commitment (AOC) in two-stage supply chains. Simulation-based experimental analysis evaluates the impact of environmental and MPS design factors on schedule cost and instability. The results provide insight int...

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Vydané v:International journal of production research Ročník 52; číslo 9; s. 2767 - 2787
Hlavní autori: Nedaei, H., Mahlooji, H.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Taylor & Francis 03.05.2014
Taylor & Francis LLC
Predmet:
Computer simulation
Cost analysis
Dealing
design of experiment
Impact analysis
Instability
Integer programming
master production schedule
Mathematical models
multi-objective optimisation
Policies
Production scheduling
Schedules
Simulation
Studies
supply chain management
Supply chains
ISSN:0020-7543, 1366-588X
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Popis
Shrnutí:This research studies multi-objective master production schedule (MPS) and advanced order commitment (AOC) in two-stage supply chains. Simulation-based experimental analysis evaluates the impact of environmental and MPS design factors on schedule cost and instability. The results provide insight into multi-objective MPS design considerations through rolling schedule policies. The study reveals that the manufacturer's production smoothness utility coefficient and its interaction with other experimental factors considerably impact on the system's performance. In addition, it introduces a simulation framework with embedded mixed integer programming models that could be used as a framework for future research dealing with integrated multi-stage MPS/AOC policy in a variety of planning contexts.
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ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2014.884732