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Note on the Hybrid Flowshop Scheduling Problem with Multiprocessor Tasks

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  • Hidri, Lotfi

Abstract

In this note the Hybrid Flowshop Scheduling Problem with Multiprocessor Tasks is addressed. The objective function to be minimized is the maximum completion time or the makespan. The main purpose of this note is to pinpoint an inaccuracy contained in a recent paper while developing a lower bound (Chou: IJPE, 141:137–145 ) and to propose some valid lower bounds.

Suggested Citation

  • Hidri, Lotfi, 2016. "Note on the Hybrid Flowshop Scheduling Problem with Multiprocessor Tasks," International Journal of Production Economics, Elsevier, vol. 182(C), pages 531-534.
    • Handle: RePEc:eee:proeco:v:182:y:2016:i:c:p:531-534
    DOI: 10.1016/j.ijpe.2016.10.001
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    References listed on IDEAS

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    1. Chou, Fuh-Der, 2013. "Particle swarm optimization with cocktail decoding method for hybrid flow shop scheduling problems with multiprocessor tasks," International Journal of Production Economics, Elsevier, vol. 141(1), pages 137-145.
    2. Ruiz, Rubén & Vázquez-Rodríguez, José Antonio, 2010. "The hybrid flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 205(1), pages 1-18, August.
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    Cited by:

    1. Zhi Li & Ray Y. Zhong & Ali Vatankhah Barenji & J. J. Liu & C. X. Yu & George Q. Huang, 2021. "Bi-objective hybrid flow shop scheduling with common due date," Operational Research, Springer, vol. 21(2), pages 1153-1178, June.
    2. Wu, Lingxiao & Wang, Shuaian, 2018. "Exact and heuristic methods to solve the parallel machine scheduling problem with multi-processor tasks," International Journal of Production Economics, Elsevier, vol. 201(C), pages 26-40.

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