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Scheduling jobs on a k-stage flexible flow-shop

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  • Carlos Paternina-Arboleda
  • Jairo Montoya-Torres
  • Milton Acero-Dominguez
  • Maria Herrera-Hernandez

Abstract

We consider the problem of makespan minimization on a flexible flow shop with k stages and m s machines at any stage. We propose a heuristic algorithm based on the identification and exploitation of the bottleneck stage, which is simple to use and to understand by practitioners. A computational experiment is conducted to evaluate the performance of the proposed method. The study shows that our method is, in average, comparable with other bottleneck-based algorithms, but with smaller variance, and that it requires less computational effort. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • Carlos Paternina-Arboleda & Jairo Montoya-Torres & Milton Acero-Dominguez & Maria Herrera-Hernandez, 2008. "Scheduling jobs on a k-stage flexible flow-shop," Annals of Operations Research, Springer, vol. 164(1), pages 29-40, November.
    • Handle: RePEc:spr:annopr:v:164:y:2008:i:1:p:29-40:10.1007/s10479-007-0257-2
    DOI: 10.1007/s10479-007-0257-2
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    References listed on IDEAS

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    Cited by:

    1. Silvestro Vespoli & Guido Guizzi & Elisa Gebennini & Andrea Grassi, 2022. "A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture," Annals of Operations Research, Springer, vol. 310(1), pages 201-221, March.
    2. K. C. Bhosale & P. J. Pawar, 2019. "Material flow optimisation of production planning and scheduling problem in flexible manufacturing system by real coded genetic algorithm (RCGA)," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 381-423, June.
    3. Pan, Quan-Ke & Wang, Ling & Li, Jun-Qing & Duan, Jun-Hua, 2014. "A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation," Omega, Elsevier, vol. 45(C), pages 42-56.
    4. Ali Hosseinabadi & Hajar Siar & Shahaboddin Shamshirband & Mohammad Shojafar & Mohd Nasir, 2015. "Using the gravitational emulation local search algorithm to solve the multi-objective flexible dynamic job shop scheduling problem in Small and Medium Enterprises," Annals of Operations Research, Springer, vol. 229(1), pages 451-474, June.
    5. Berghman, Lotte & Leus, Roel, 2015. "Practical solutions for a dock assignment problem with trailer transportation," European Journal of Operational Research, Elsevier, vol. 246(3), pages 787-799.
    6. Taha Keshavarz & Nasser Salmasi & Mohsen Varmazyar, 2015. "Minimizing total completion time in the flexible flowshop sequence-dependent group scheduling problem," Annals of Operations Research, Springer, vol. 226(1), pages 351-377, March.
    7. Lotte Berghman & Roel Leus & Frits Spieksma, 2014. "Optimal solutions for a dock assignment problem with trailer transportation," Annals of Operations Research, Springer, vol. 213(1), pages 3-25, February.

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