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Hybrid Flow Shop Scheduling with Availability Constraints

In: Essays in Production, Project Planning and Scheduling

Author

Listed:
  • Hamid Allaoui

    (Universitè de Lille Nord de France, Universit/‘e dÁrtois)

  • Abdelhakim Artiba

    (Universitè de Lille Nord de France, Universitè de Valenciennes)

Abstract

The success of a product depends on the costs incurred through its entire processing. Indeed, an efficient schedule can significantly reduce the total costs. Most of the literature on scheduling assumes that machines are always available. However, due to maintenance activities machines cannot operate continuously without some unavailability periods. This chapter deals with scheduling a hybrid flow shop with availability constraints to minimize makespan. We investigate exact methods to solve two special cases of this problem to optimality. We formulate a dynamic programming to solve two-machine flow shop and a branch and bound algorithm to solve the two-stage hybrid flow shop.

Suggested Citation

  • Hamid Allaoui & Abdelhakim Artiba, 2014. "Hybrid Flow Shop Scheduling with Availability Constraints," International Series in Operations Research & Management Science, in: P. Simin Pulat & Subhash C. Sarin & Reha Uzsoy (ed.), Essays in Production, Project Planning and Scheduling, edition 127, chapter 12, pages 277-299, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-9056-2_12
    DOI: 10.1007/978-1-4614-9056-2_12
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    Cited by:

    1. A. G. Leeftink & R. J. Boucherie & E. W. Hans & M. A. M. Verdaasdonk & I. M. H. Vliegen & P. J. Diest, 2018. "Batch scheduling in the histopathology laboratory," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 171-197, June.

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