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A modified tabu search algorithm for cost-based job shop problem

Author

Listed:
  • Z C Zhu

    (National University of Singapore)

  • K M Ng

    (National University of Singapore)

  • H L Ong

    (National University of Singapore)

Abstract

In this paper, a cost-based job shop problem (JIT-JSP) is proposed to model the multi-order processing procedure in a just-in-time (JIT) environment. The objective of JIT-JSP is to minimize three costs: work-in-process holding cost of half-finished orders, inventory holding cost of finished orders and backorder cost of unfulfilled orders. A modified tabu search (MTS) method is developed to improve the schedule quality by searching the neighbourhood of a feasible schedule iteratively. The MTS method is comprised of three components that help to ensure a more effective searching procedure: neighbourhood structure, memory structure and filter structure. Computational results show that the MTS method significantly improves the initial schedule generated by an arbitrarily selected dispatching rule.

Suggested Citation

  • Z C Zhu & K M Ng & H L Ong, 2010. "A modified tabu search algorithm for cost-based job shop problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 611-619, April.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:4:d:10.1057_jors.2009.9
    DOI: 10.1057/jors.2009.9
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Rui & Chang, Pei-Chann & Wu, Cheng, 2013. "A hybrid genetic algorithm for the job shop scheduling problem with practical considerations for manufacturing costs: Investigations motivated by vehicle production," International Journal of Production Economics, Elsevier, vol. 145(1), pages 38-52.

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