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A New Exact Solution Algorithm for the Job Shop Problem with Sequence-Dependent Setup Times

  • Christian Artigues
  • Sana Belmokhtar
  • Dominique Feillet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3011)

Abstract

We propose a new solution approach for the Job Shop Problem with Sequence Dependent Setup Times (SDST-JSP). The problem consists in scheduling jobs, each job being a set of elementary operations to be processed on different machines. The objective pursued is to minimize the completion time of the set of operations. We investigate a relaxation of the problem related to the traveling salesman problem with time windows (TSPTW). Our approach is based on a Branch and Bound procedure, including constraint propagation and using this relaxation. It compares favorably over the best available approaches from the literature on a set of benchmark instances.

Keywords

Setup Time Search Tree Constraint Programming Precedence Constraint Sequence Dependent Setup Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Christian Artigues
    • 1
  • Sana Belmokhtar
    • 2
  • Dominique Feillet
    • 1
  1. 1.Laboratoire d’Informatique d’AvignonFRE CNRS 2487 Université d’Avignon, AgroparcAvignon Cedex 9France
  2. 2.MSGI-G2I, Ecole des Mines de Saint EtienneSaint Etienne Cedex 2France

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