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Single machine scheduling with sequence-dependent family setups to minimize maximum lateness

Author

Listed:
  • F Jin

    (IBM China Research Lab
    Tsinghua University)

  • J N D Gupta

    (University of Alabama in Huntsville)

  • S Song

    (Tsinghua University)

  • C Wu

    (Tsinghua University)

Abstract

Motivated by a real-life scheduling problem in a steel wire factory in China, this paper considers the single machine scheduling problem with sequence-dependent family setup times to minimize maximum lateness. In view of the NP-hard nature of the problem, structural (dominance and neighbourhood) properties of the problem are described and used in the tabu search algorithms to find optimal or near-optimal schedules. These proposed structural properties quickly exclude unpromising and/or non-improving neighbours from further search. Empirical results on the randomly generated and real-life problem instances from a factory in China show that the proposed heuristic algorithms utilizing the structural properties can obtain optimal or near optimal solutions with a reasonable computational effort.

Suggested Citation

  • F Jin & J N D Gupta & S Song & C Wu, 2010. "Single machine scheduling with sequence-dependent family setups to minimize maximum lateness," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1181-1189, July.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:7:d:10.1057_jors.2009.63
    DOI: 10.1057/jors.2009.63
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    References listed on IDEAS

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    Cited by:

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    2. Pereira, Jordi & Vásquez, Óscar C., 2017. "The single machine weighted mean squared deviation problem," European Journal of Operational Research, Elsevier, vol. 261(2), pages 515-529.
    3. Senay Solak & Gustaf Solveling & John-Paul B. Clarke & Ellis L. Johnson, 2018. "Stochastic Runway Scheduling," Transportation Science, INFORMS, vol. 52(4), pages 917-940, August.

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