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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Vydáno v:International journal of production research Ročník 54; číslo 8; s. 2394 - 2404
Hlavní autoři: Herrera, Carlos, Belmokhtar-Berraf, Sana, Thomas, André, Parada, Víctor
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 17.04.2016
Taylor & Francis LLC
Témata:
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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Abstract 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.
AbstractList 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.
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.
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 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 mixed-integer programming 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.
Author Parada, Víctor
Herrera, Carlos
Belmokhtar-Berraf, Sana
Thomas, André
Author_xml – sequence: 1
  givenname: Carlos
  surname: Herrera
  fullname: Herrera, Carlos
  organization: Departamento de Ingeniería Industrial, Universidad de Concepción
– sequence: 2
  givenname: Sana
  surname: Belmokhtar-Berraf
  fullname: Belmokhtar-Berraf, Sana
  organization: System Engineering Department, École Supérieure d'Ingénieurs en Électronique et Électrotechnique (ESIEE) Paris
– sequence: 3
  givenname: André
  surname: Thomas
  fullname: Thomas, André
  organization: Centre de Recherche en Automatique de Nancy, Université Henri Poincaré
– sequence: 4
  givenname: Víctor
  surname: Parada
  fullname: Parada, Víctor
  email: victor.parada@usach.cl
  organization: Departamento de Ingeniería Informática, Universidad de Santiago de Chile
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Issue 8
Keywords mixed-integer programming
manufacturing systems
production planning and control
master production schedule
stability
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SubjectTerms 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
Title A reactive decision-making approach to reduce instability in a master production schedule
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