A reactive decision-making approach to reduce instability in a master production schedule

One of the primary factors that impact the master production scheduling performance is demand fluctuation, which leads to frequently updated decisions, thereby causing instability. Consequently, global cost deteriorates, and productivity decreases. A reactive approach based on parametric mixed-integ...

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Veröffentlicht in:International journal of production research Jg. 54; H. 8; S. 2394 - 2404
Hauptverfasser: Herrera, Carlos, Belmokhtar-Berraf, Sana, Thomas, André, Parada, Víctor
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Taylor & Francis 17.04.2016
Taylor & Francis LLC
Schlagworte:
Automatic
Computer Science
Decision making
Deterioration
Engineering Sciences
Fluctuation
Industrial engineering
Information Retrieval
Instability
Integer programming
Manufacturing engineering
manufacturing systems
master production schedule
mixed-integer programming
Production costs
production planning and control
Production scheduling
Programming
Stability
Variation
mixed-integer programming
manufacturing systems
production planning and control
master production schedule
stability
ISSN:0020-7543, 1366-588X
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Zusammenfassung:One of the primary factors that impact the master production scheduling performance is demand fluctuation, which leads to frequently updated decisions, thereby causing instability. Consequently, global cost deteriorates, and productivity decreases. A reactive approach based on parametric mixed-integer programming (MIP) is proposed that aims to provide a set of plans such that a compromise between production cost and production stability is ensured. Several stability measures and their corresponding MIP model are proposed. An experimental study is performed to highlight the effectiveness of the reactive approach with regard to the proposed performance measures. It is observed that an improvement in stability does not mean a significant increase in the total production cost. Furthermore, the procedure yields a set of plans that in practice would enable flexible management of production.
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ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2015.1078516