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Searching optimal resequencing and feature assignment on an automated assembly line

Author

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  • A Lim

    (City University of Hong Kong)

  • Z Xu

    (The Hong Kong Polytechnic University)

Abstract

The resequencing and feature assignment problem (RFAP) appears among jobs in the assembly line, especially in the automotive industry. Each job in the assembly line must be assigned a feature from its feasible feature set. However, a changeover cost is incurred between two consecutive jobs with different features. To minimize the total changeover cost, the job sequence needs to be rearranged, but the rearrangement is restricted to the number of offline buffers. The RFAP turns out to be đ’©đ’«-hard in the strong sense. Based on a beam search heuristic to generate upper bounds of optimum solutions, we have proposed an iterative search scheme which can achieve optimum solutions in a reasonably short time, for cases sized as large as that in reality. Extensive experiments have shown very favourable results for our methods in terms of both the solution quality and the time efficiency.

Suggested Citation

  • A Lim & Z Xu, 2009. "Searching optimal resequencing and feature assignment on an automated assembly line," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 361-371, March.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:3:d:10.1057_palgrave.jors.2602533
    DOI: 10.1057/palgrave.jors.2602533
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    References listed on IDEAS

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    5. F Della Croce & V T'kindt, 2002. "A Recovering Beam Search algorithm for the one-machine dynamic total completion time scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1275-1280, November.
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    Cited by:

    1. Boysen, Nils & Scholl, Armin & Wopperer, Nico, 2012. "Resequencing of mixed-model assembly lines: Survey and research agenda," European Journal of Operational Research, Elsevier, vol. 216(3), pages 594-604.
    2. M Ozlen & M Azizoğlu, 2011. "Rescheduling unrelated parallel machines with total flow time and total disruption cost criteria," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 152-164, January.
    3. Taube, F. & Minner, S., 2018. "Resequencing mixed-model assembly lines with restoration to customer orders," Omega, Elsevier, vol. 78(C), pages 99-111.

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