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PSO-based algorithm for solving lot splitting in unbalanced seru production system

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  • Zhe Zhang
  • Luming Shao
  • Yong Yin

Abstract

Seru production system is one of responsive and flexible systems to cope with uncertain demands or changes in current volatile market, and the design of this system involves many structural and operational factors. One of the most important steps is the formation of seru production system, including worker assignment and order scheduling. This paper aims to address a scheduling problem in unbalanced seru production system with lot splitting, where the non-zero setup time is also considered. After describing the problem, a comprehensive mathematical model is proposed to confirm seru formations and arrange orders to different serus. Subsequently, motivated by the particular nature of proposed model, a solution method based on PSO algorithm is designed to assign workers to each seru and determine the productivity, and the optimal assignment of sub-orders is also decided. Finally, an illustrative numerical example is presented to validate the effectiveness of proposed model and solution method.

Suggested Citation

  • Zhe Zhang & Luming Shao & Yong Yin, 2020. "PSO-based algorithm for solving lot splitting in unbalanced seru production system," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 35(4), pages 433-450.
    • Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:433-450
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    Cited by:

    1. Zhang, Zhe & Song, Xiaoling & Huang, Huijung & Zhou, Xiaoyang & Yin, Yong, 2022. "Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong’s learning effect," European Journal of Operational Research, Elsevier, vol. 297(3), pages 866-877.

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