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Configuring a seru production system to match supply with volatile demand

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Abstract

In recent years, volatile markets have given rise to a new production system, seru production system, which has been widely utilized in the Asian electronics industry and considered as the next generation of lean production. This paper focuses on the configuration of a seru production system considering that (1) serus are physically reconfigurable rather than fixed and (2) workers have different skill ranges and processing velocities. A mathematical model, whose objectives are to minimize the total completion time and to minimize the total labor cost, is constructed. An improved multiobjective algorithm that combines a multiobjective genetic algorithm, differential evolutionary algorithm and conflict-factor-based mutation operator is proposed in this paper. Computational experiments show that our proposed algorithm outperforms classic scheduling heuristics and well-known algorithms.

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Authors and Affiliations

  1. School of Computer Science, Beijing Institute of Technology, Beijing, China

    Rongxin Zhan & Dongni Li

  2. Southeast Academy of Information Technology, Beijing Institute of Technology, Putian, China

    Dongni Li

  3. State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission System, Baotou, China

    Tao Ma & Shaofeng Du

  4. Guangdong Shenling Environmental Systems Co., Ltd., Foshan, China

    Zihua Cui

  5. Graduate School of Business, Doshisha University, Kyoto, Japan

    Yong Yin

Authors
  1. Rongxin Zhan
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  2. Dongni Li
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  3. Tao Ma
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  4. Zihua Cui
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  5. Shaofeng Du
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  6. Yong Yin
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Correspondence to Dongni Li.

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Zhan, R., Li, D., Ma, T. et al. Configuring a seru production system to match supply with volatile demand. Appl Intell 53, 12925–12936 (2023). https://doi.org/10.1007/s10489-022-04097-9

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  • DOI: https://doi.org/10.1007/s10489-022-04097-9

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