Hybrid Disassembly Line Balancing of Multi-Factory Remanufacturing Process Considering Workers with Government Benefits

Xiaoyu Niu, Xiwang Guo, Peisheng Liu (), Jiacun Wang, Shujin Qin, Liang Qi, Bin Hu () and Yingjun Ji
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Xiaoyu Niu: College of of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun 113001, China
Xiwang Guo: College of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, China
Peisheng Liu: College of of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun 113001, China
Jiacun Wang: Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USA
Shujin Qin: Research Center of the Economic and Social Development of Henan East Provincial Joint, Shangqiu Normal University, Shangqiu 476000, China
Liang Qi: Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266000, China
Bin Hu: Department of Computer Science and Technology, Kean University, Union, NJ 07083, USA
Yingjun Ji: Faculty of Information, Liaoning University, Shenyang 110036, China

Mathematics, 2025, vol. 13, issue 5, 1-23

Abstract: Optimizing multi-factory remanufacturing systems with social welfare considerations presents critical challenges in task allocation and process coordination. This study addresses this gap by proposing a hybrid disassembly line balancing and multi-factory remanufacturing process optimization problem, considering workers with government benefits. A mixed-integer programming model is formulated to maximize profit, and its correctness is verified using the CPLEX solver. Furthermore, a discrete zebra optimization algorithm is proposed to solve the model, integrating a survival-of-the-fittest strategy to improve its optimization capabilities. The effectiveness and convergence of the algorithm are demonstrated through experiments on disassembly cases, with comparisons made to six peer algorithms and CPLEX. The experimental results highlight the importance of this research in improving resource utilization efficiency, reducing environmental impacts, and promoting sustainable development.

Keywords: hybrid disassembly line balancing; multi-factory remanufacturing process optimization; workers with government benefits; zebra optimization algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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