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An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation

Author

Listed:
  • Shujin Qin

    (College of Economics and Management, Shangqiu Normal University, Shangqiu 476000, China)

  • Xinkai Xie

    (College of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, China)

  • Jiacun Wang

    (Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USA)

  • Xiwang Guo

    (College of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, China)

  • Liang Qi

    (Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China)

  • Weibiao Cai

    (College of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, China)

  • Ying Tang

    (College of Electrical and Computer Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Qurra Tul Ann Talukder

    (Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

The growing emphasis on ecological preservation and natural resource conservation has significantly advanced resource recycling, facilitating the realization of a sustainable green economy. Essential to resource recycling is the pivotal stage of disassembly, wherein the efficacy of disassembly tools plays a critical role. This work investigates the impact of disassembly tools on disassembly duration and formulates a mathematical model aimed at minimizing workstation cycle time. To solve this model, we employ an optimized advantage actor-critic algorithm within reinforcement learning. Furthermore, it utilizes the CPLEX solver to validate the model’s accuracy. The experimental results obtained from CPLEX not only confirm the algorithm’s viability but also enable a comparative analysis against both the original advantage actor-critic algorithm and the actor-critic algorithm. This comparative work verifies the superiority of the proposed algorithm.

Suggested Citation

  • Shujin Qin & Xinkai Xie & Jiacun Wang & Xiwang Guo & Liang Qi & Weibiao Cai & Ying Tang & Qurra Tul Ann Talukder, 2024. "An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation," Mathematics, MDPI, vol. 12(6), pages 1-19, March.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:836-:d:1355728
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    References listed on IDEAS

    as
    1. McGovern, Seamus M. & Gupta, Surendra M., 2007. "A balancing method and genetic algorithm for disassembly line balancing," European Journal of Operational Research, Elsevier, vol. 179(3), pages 692-708, June.
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