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No-wait flowshop scheduling problem with separate setup times to minimize total tardiness subject to makespan

Author

Listed:
  • Allahverdi, Ali
  • Aydilek, Harun
  • Aydilek, Asiye

Abstract

The no-wait flowshop scheduling problem on m machines with separate setup times is addressed to minimize total tardiness with an upper bound on makespan. Conditions for a dominance rule are established. Then, a new simulated annealing algorithm utilizing block insertion and block exchange operators is proposed, which we call a block simulated annealing algorithm. The proposed block simulated annealing algorithm is combined with an iterated search algorithm where the block simulated annealing algorithm explores the search space for a smaller total tardiness while the iterated search algorithm satisfies the constraint on the makespan. The proposed combined algorithm is called PA. Moreover, six closely related and well performing algorithms in the literature are modified to the problem, and PA is compared with these six algorithms. Extensive computational experiments reveal that PA reduces the error of the best modified algorithm by more than 50% for the same CPU times. Furthermore, the results are statistically tested, and thus, PA is recommended.

Suggested Citation

  • Allahverdi, Ali & Aydilek, Harun & Aydilek, Asiye, 2020. "No-wait flowshop scheduling problem with separate setup times to minimize total tardiness subject to makespan," Applied Mathematics and Computation, Elsevier, vol. 365(C).
  • Handle: RePEc:eee:apmaco:v:365:y:2020:i:c:s0096300319306800
    DOI: 10.1016/j.amc.2019.124688
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    Citations

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    Cited by:

    1. Wang, Yuhang & Han, Yuyan & Wang, Yuting & Tasgetiren, M. Fatih & Li, Junqing & Gao, Kaizhou, 2023. "Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem," European Journal of Operational Research, Elsevier, vol. 311(3), pages 816-832.
    2. Meenakshi Sharma & Manisha Sharma & Sameer Sharma, 2022. "Desert sparrow optimization algorithm for the bicriteria flow shop scheduling problem with sequence-independent setup time," Operational Research, Springer, vol. 22(4), pages 4353-4396, September.

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