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Research on multi-objective optimal scheduling considering the balance of labor workload distribution

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  • Zhengyu Hu
  • Wenrui Liu
  • Shengchen Ling
  • Kuan Fan

Abstract

In order to solve the problem of unbalanced workload of employees in parallel flow shop scheduling, a method of job standard balance is proposed to describe the work balance of employees. The minimum delay time of completion and the imbalance of employee work are taken as the two goals of the model. A bi-objective nonlinear integer programming model is proposed. NSGA-II-EDSP, NSGA-II-KES, and NSGA-II-QKES heuristic rule algorithms are designed to solve the problem. A number of computational experiments of different sizes are conducted, and compared with solutions generated by NSGA-II. The experimental results show the advantages of the proposed model and method, which error is reduced 14.56%, 15.16% and 15.67%.

Suggested Citation

  • Zhengyu Hu & Wenrui Liu & Shengchen Ling & Kuan Fan, 2021. "Research on multi-objective optimal scheduling considering the balance of labor workload distribution," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-15, August.
    • Handle: RePEc:plo:pone00:0255737
    DOI: 10.1371/journal.pone.0255737
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    References listed on IDEAS

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    1. Pan, Quan-Ke & Wang, Ling & Li, Jun-Qing & Duan, Jun-Hua, 2014. "A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation," Omega, Elsevier, vol. 45(C), pages 42-56.
    2. Zhijian Qu & Hanxin Liu & Hanlin Wang & Xinqiang Chen & Rui Chi & Zixiao Wang, 2020. "Cluster equilibrium scheduling method based on backpressure flow control in railway power supply systems," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-23, December.
    3. Frederick M Howard & Catherine A Gao & Christopher Sankey, 2020. "Implementation of an automated scheduling tool improves schedule quality and resident satisfaction," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-9, August.
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