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Quick dispatching-rules-based solution for the two parallel machines problem under mold constraints

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  • Mahdi Jemmali

    (Majmaah University
    University of Sousse
    University of Monastir)

  • Abir Ben Hmida

    (University of Monastir)

Abstract

The main focus of this study is on the makespan minimization scheduling problem on two identical parallel machines with mold constraints. The mold constraint in this problem is described as a resource-constrained problem. In industries such as wafer fabrication, two tasks that use the same mold cannot be processed simultaneously on two parallel machines. Because the problem is NP-hard, ten heuristics have been developed and discussed to describe and solve the problem. These heuristics are based on the dispatching rules, the critical mold approach, the clustering method, and the probabilistic method using the randomization procedure. In addition, a new lower bound is proposed. Four classes with a total of 2160 instances are generated to assess the performance of the proposed algorithms. The computational results showed that the proposed lower bound and heuristics outperform those developed in the literature. In addition, the obtained results showed that the optimal solution is reached in 97.6% of the generated instances.

Suggested Citation

  • Mahdi Jemmali & Abir Ben Hmida, 2024. "Quick dispatching-rules-based solution for the two parallel machines problem under mold constraints," Flexible Services and Manufacturing Journal, Springer, vol. 36(1), pages 224-249, March.
    • Handle: RePEc:spr:flsman:v:36:y:2024:i:1:d:10.1007_s10696-023-09483-0
    DOI: 10.1007/s10696-023-09483-0
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    References listed on IDEAS

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    3. Allahverdi, Ali & Ng, C.T. & Cheng, T.C.E. & Kovalyov, Mikhail Y., 2008. "A survey of scheduling problems with setup times or costs," European Journal of Operational Research, Elsevier, vol. 187(3), pages 985-1032, June.
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    Cited by:

    1. Mohammad Mahmood Otoom & Mahdi Jemmali & Akram Y Sarhan & Imen Achour & Ibrahim Alsaduni & Mohamed Nazih Omri, 2024. "An enhanced multilevel secure data dissemination approximate solution for future networks," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-16, February.

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