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A Hybrid Local Search Algorithm for the Sequence Dependent Setup Times Flowshop Scheduling Problem with Makespan Criterion

Author

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  • Yunhe Wang

    (School of Information and Science Technology, Northeast Normal University, Changchun 130117, China)

  • Xiangtao Li

    (School of Information and Science Technology, Northeast Normal University, Changchun 130117, China)

  • Zhiqiang Ma

    (School of Information and Science Technology, Northeast Normal University, Changchun 130117, China
    Department of Computer Science, College of Humanities & Sciences of Northeast Normal University, Changchun 130117, China)

Abstract

This paper focuses on the flowshop scheduling problem with sequence dependent setup times (FSSP-SDST), which has been an investigated object for decades as one of the most popular scheduling problems in manufacturing systems. A novel hybrid local search algorithm called HLS is presented to solve the flowshop scheduling problem with sequence dependent setup times with the criterion of minimizing the makespan. Firstly, the population is initialized by the Nawaz-Enscore-Hoam based problem-specific method ( NEHBPS ) to generate high quality individuals of the current population. Then, a global search embedded with a light perturbation is designed to produce a new population. After that, to improve the quality of individuals in the current population, a single insertion-based local search is applied. Meanwhile, a further local search strategy based on the insertion-based local search is used to find better solutions for the individuals which are non-improved. Finally, the heavy perturbation is used to explore potential solutions in the neighbor region. To validate the performance of HLS, we compare our proposed algorithm with other competitive algorithms on Taillard benchmark problems. From the experimental results, it can be concluded that the proposed algorithm outperforms the benchmark algorithms.

Suggested Citation

  • Yunhe Wang & Xiangtao Li & Zhiqiang Ma, 2017. "A Hybrid Local Search Algorithm for the Sequence Dependent Setup Times Flowshop Scheduling Problem with Makespan Criterion," Sustainability, MDPI, vol. 9(12), pages 1-35, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2318-:d:122861
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    References listed on IDEAS

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    1. Rajendran, Chandrasekharan & Ziegler, Hans, 1997. "An efficient heuristic for scheduling in a flowshop to minimize total weighted flowtime of jobs," European Journal of Operational Research, Elsevier, vol. 103(1), pages 129-138, November.
    2. Ruiz, Ruben & Stutzle, Thomas, 2007. "A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2033-2049, March.
    3. Li, Xiaoping & Wang, Qian & Wu, Cheng, 2009. "Efficient composite heuristics for total flowtime minimization in permutation flow shops," Omega, Elsevier, vol. 37(1), pages 155-164, February.
    4. Ruiz, Ruben & Stutzle, Thomas, 2008. "An Iterated Greedy heuristic for the sequence dependent setup times flowshop problem with makespan and weighted tardiness objectives," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1143-1159, June.
    5. Rios-Mercado, Roger Z. & Bard, Jonathan F., 1998. "Heuristics for the flow line problem with setup costs," European Journal of Operational Research, Elsevier, vol. 110(1), pages 76-98, October.
    6. Roger Z. Ríos-Mercado & Jonathan F. Bard, 2003. "The Flow Shop Scheduling Polyhedron with Setup Times," Journal of Combinatorial Optimization, Springer, vol. 7(3), pages 291-318, September.
    7. Imène Benkalai & Djamal Rebaine & Caroline Gagné & Pierre Baptiste, 2017. "Improving the migrating birds optimization metaheuristic for the permutation flow shop with sequence-dependent set-up times," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6145-6157, October.
    8. Nawaz, Muhammad & Enscore Jr, E Emory & Ham, Inyong, 1983. "A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem," Omega, Elsevier, vol. 11(1), pages 91-95.
    9. Pan, Quan-Ke & Wang, Ling, 2012. "Effective heuristics for the blocking flowshop scheduling problem with makespan minimization," Omega, Elsevier, vol. 40(2), pages 218-229, April.
    10. Simons, JV, 1992. "Heuristics in flow shop scheduling with sequence dependent setup times," Omega, Elsevier, vol. 20(2), pages 215-225, March.
    11. Ruiz, Ruben & Maroto, Concepcion & Alcaraz, Javier, 2005. "Solving the flowshop scheduling problem with sequence dependent setup times using advanced metaheuristics," European Journal of Operational Research, Elsevier, vol. 165(1), pages 34-54, August.
    12. Gambardella, L.M. & Montemanni, R. & Weyland, D., 2012. "Coupling ant colony systems with strong local searches," European Journal of Operational Research, Elsevier, vol. 220(3), pages 831-843.
    13. Rajendran, Chandrasekharan & Ziegler, Hans, 2004. "Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs," European Journal of Operational Research, Elsevier, vol. 155(2), pages 426-438, June.
    14. F T Tseng & J N D Gupta & E F Stafford, 2006. "A penalty-based heuristic algorithm for the permutation flowshop scheduling problem with sequence-dependent set-up times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 541-551, May.
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    Cited by:

    1. Dar-Li Yang & Wen-Hung Kuo, 2019. "Minimizing Makespan in A Two-Machine Flowshop Problem with Processing Time Linearly Dependent on Job Waiting Time," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    2. Wenzhu Liao & Tong Wang, 2018. "Promoting Green and Sustainability: A Multi-Objective Optimization Method for the Job-Shop Scheduling Problem," Sustainability, MDPI, vol. 10(11), pages 1-19, November.

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