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Minimising makespan in flowshop group scheduling with sequence-dependent family set-up times using inserted idle times

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  • J.S. Neufeld
  • J.N.D. Gupta
  • U. Buscher

Abstract

This paper focuses on the permutation flowshop group scheduling problem to minimise makespan, which is typically found in flowline manufacturing cells. In contrast to classical flowshop scheduling, it is characterised by a scheduling task at two levels: on the one hand, jobs within part families and on the other hand, a number of part families have to be sequenced. Integrating sequence-dependent set-up times for every changeover of families, this problem can represent practical cases. By modelling each family as a job with time lags, some specific problem characteristics of the group scheduling problem are pointed out. It is shown that generating job sequences by minimising the sum of inserted machine idle times instead of makespan on the first level of scheduling and the use of the schedule heads on the second level can lead to significant improvements for some test problems. These findings are used for the improvement of existing constructive heuristic algorithms, whose effectiveness is assessed for several test instances with sequence-dependent family set-up times.

Suggested Citation

  • J.S. Neufeld & J.N.D. Gupta & U. Buscher, 2015. "Minimising makespan in flowshop group scheduling with sequence-dependent family set-up times using inserted idle times," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1791-1806, March.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:6:p:1791-1806
    DOI: 10.1080/00207543.2014.961209
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    Cited by:

    1. He, Xuan & Pan, Quan-Ke & Gao, Liang & Neufeld, Janis S. & Gupta, Jatinder N.D., 2024. "Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times," Omega, Elsevier, vol. 123(C).
    2. Liji Shen & Jatinder N. D. Gupta, 2018. "Family scheduling with batch availability in flow shops to minimize makespan," Journal of Scheduling, Springer, vol. 21(2), pages 235-249, April.
    3. He, Xuan & Pan, Quan-Ke & Gao, Liang & Neufeld, Janis S., 2023. "An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem," European Journal of Operational Research, Elsevier, vol. 310(2), pages 597-610.

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