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

Z C Zhu (), K M Ng and H L Ong
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Z C Zhu: National University of Singapore
K M Ng: National University of Singapore
H L Ong: National University of Singapore

Journal of the Operational Research Society, 2010, vol. 61, issue 4, 611-619

Abstract: 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.

Keywords: job shop problem; cost-based problem; tabu search; neighbourhood structure; memory structure; filter structure (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (3)

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DOI: 10.1057/jors.2009.9

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