An Integrated Resolution of Joint Production and Maintenance Scheduling Problem in Hybrid Flowshop

  • Authors:

  • Fatima Benbouzid-Sitayeb;Mourad Tirchi;Abid Mahloul

  • Affiliations:

  • Institut National de formation en Informatique, BP 68M, 16270, Oued Smar, Algeria;Institut National de formation en Informatique, BP 68M, 16270, Oued Smar, Algeria;Institut National de formation en Informatique, BP 68M, 16270, Oued Smar, Algeria

  • Venue:
  • IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
  • Year:
  • 2007

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Abstract

The article presents an integrated resolution of the joint production and maintenance scheduling problem in hybrid flowshop. Two resolution methods are used on the basis of a new coding to represent a joint production and maintenance scheduling: Taboo search where we proposed an algorithm for the generation of a joint initial solution and neighbourhood, and GA where we proposed new joint operators for crossover and mutation. Computational experiments are conducted on a large set of instances and the resulting genetic algorithm gives the best results so far.