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Two-agent scheduling in a flowshop

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  • Fan, B.Q.
  • Cheng, T.C.E.

Abstract

In this paper we study two-agent scheduling in a two-machine flowshop. The cost function is the weighted sum of some common regular functions, including the makespan and the total completion time. Specifically, we consider two problems, namely the problem to minimize the weighted sum of both agents’ makespan, and the problem to minimize the weighted sum of one agent’s total completion time and the other agent’s makespan. For the first problem, we give an ordinary NP-hardness proof and a pseudo-polynomial-time algorithm. We also analyze the performance of treating the problem using Johnson’s rule and propose an approximation algorithm based on Johnson’s rule. For the second problem, we propose an approximation algorithm based on linear programming relaxation of the problem. Finally, we show that some simple algorithms can be used to solve special cases of the two problems.

Suggested Citation

  • Fan, B.Q. & Cheng, T.C.E., 2016. "Two-agent scheduling in a flowshop," European Journal of Operational Research, Elsevier, vol. 252(2), pages 376-384.
    • Handle: RePEc:eee:ejores:v:252:y:2016:i:2:p:376-384
    DOI: 10.1016/j.ejor.2016.01.009
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    11. Perez-Gonzalez, Paz & Framinan, Jose M., 2014. "A common framework and taxonomy for multicriteria scheduling problems with interfering and competing jobs: Multi-agent scheduling problems," European Journal of Operational Research, Elsevier, vol. 235(1), pages 1-16.
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    Cited by:

    1. Gao, Yuan & Yuan, Jinjiang & Ng, C.T. & Cheng, T.C.E., 2019. "A further study on two-agent parallel-batch scheduling with release dates and deteriorating jobs to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 273(1), pages 74-81.
    2. Zhang, Xingong, 2021. "Two competitive agents to minimize the weighted total late work and the total completion time," Applied Mathematics and Computation, Elsevier, vol. 406(C).
    3. Vahid Nasrollahi & Ghasem Moslehi & Mohammad Reisi-Nafchi, 2022. "Minimizing the weighted sum of maximum earliness and maximum tardiness in a single-agent and two-agent form of a two-machine flow shop scheduling problem," Operational Research, Springer, vol. 22(2), pages 1403-1442, April.
    4. Yaping Fu & Hongfeng Wang & Guangdong Tian & Zhiwu Li & Hesuan Hu, 2019. "Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2257-2272, June.
    5. Chen, Rubing & Geng, Zhichao & Lu, Lingfa & Yuan, Jinjiang & Zhang, Yuan, 2022. "Pareto-scheduling of two competing agents with their own equal processing times," European Journal of Operational Research, Elsevier, vol. 301(2), pages 414-431.
    6. Zhang Xingong & Wang Yong, 2017. "Two-agent scheduling problems on a single-machine to minimize the total weighted late work," Journal of Combinatorial Optimization, Springer, vol. 33(3), pages 945-955, April.
    7. Byung-Gyoo Kim & Byung-Cheon Choi & Myoung-Ju Park, 2017. "Two-Machine and Two-Agent Flow Shop with Special Processing Times Structures," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-17, August.
    8. Xiaoling Cao & Wen-Hsing Wu & Wen-Hung Wu & Chin-Chia Wu, 2018. "Some two-agent single-machine scheduling problems to minimize minmax and minsum of completion times," Operational Research, Springer, vol. 18(2), pages 293-314, July.
    9. Yunqiang Yin & T. C. E. Cheng & Du-Juan Wang & Chin-Chia Wu, 2017. "Two-agent flowshop scheduling to maximize the weighted number of just-in-time jobs," Journal of Scheduling, Springer, vol. 20(4), pages 313-335, August.
    10. Yadong Wang & Baoqiang Fan & Jingang Zhai & Wei Xiong, 2019. "Two-machine flowshop scheduling in a physical examination center," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 363-374, January.

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