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; Yingjun Ji

doi:10.3390/math13050880

journal article Open Access Mar 06, 2025

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

Yingjun Ji

Mathematics Vol. 13 No. 5 pp. 880 · MDPI AG

View at Publisher Save 10.3390/math13050880

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.

Topics

No keywords indexed for this article. Browse by subject →

References

24

[1]

Feng "Flexible Process Planning and End-of-Life Decision-Making for Product Recovery Optimization Based on Hybrid Disassembly" IEEE Trans. Autom. Sci. Eng. (2019) 10.1109/tase.2018.2840348

[2]

Gungor "A solution approach to the disassembly line balancing problem in the presence of task failures" Int. J. Prod. Res. (2001) 10.1080/00207540110052157

[3]

Kalayci "Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem" Expert Syst. Appl. (2013) 10.1016/j.eswa.2013.06.067

[4]

Wang, J., Xi, G., Guo, X., Qin, S., and Han, H. (2024). Multi-Objective Advantage Actor-Critic Algorithm for Hybrid Disassembly Line Balancing with Multi-Skilled Workers. Information, 15. 10.3390/info15030168

[5]

Behnamian "A survey of multi-factory scheduling" J. Intell. Manuf. (2016) 10.1007/s10845-014-0890-y

[6]

Qin "A salp swarm algorithm for parallel disassembly line balancing considering workers with government benefits" IEEE Trans. Comput. Soc. Syst. (2023) 10.1109/tcss.2023.3238965

[7]

Liu "Eco-friendly multi-skilled worker assignment and assembly line balancing problem" Comput. Ind. Eng. (2021) 10.1016/j.cie.2020.106944

[8]

Fu "Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems" Comput. Electr. Eng. (2024) 10.1016/j.compeleceng.2024.109780

[9]

Zhao "Scheduling and Logistics Optimization for Batch Manufacturing Processes With Temperature Constraints and Alternative Thermal Devices" IEEE Trans. Ind. Inform. (2024) 10.1109/tii.2024.3413335

[10]

Mcgovern "A balancing method and genetic algorithm for disassembly line balancing" Eur. J. Oper. Res. (2007) 10.1016/j.ejor.2005.03.055

[11]

Cui "Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint" IEEE Robot. Autom. Lett. (2023) 10.1109/lra.2023.3241752

[12]

Jia "Multiverse Optimization Algorithm Based on Lévy Flight Improvement for Multithreshold Color Image Segmentation" IEEE Access (2019) 10.1109/access.2019.2903345

[13]

Personalized Disassembly Sequence Planning for a Human–Robot Hybrid Disassembly Cell

Shanhe Lou, Runjia Tan, Yiran Zhang et al.

IEEE Transactions on Industrial Informatics 2024 10.1109/tii.2024.3403254

[14]

Dehghani "Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm" IEEE Access (2022) 10.1109/access.2022.3151641

[15]

Han "A V2G scheduling strategy based on the fruit fly optimization algorithm" J. Phys. Conf. Ser. (2021) 10.1088/1742-6596/1952/4/042063

[16]

Guo "Human-Robot Collaborative Disassembly Line Balancing Problem with Stochastic Operation Time and a Solution via Multi-Objective Shuffled Frog Leaping Algorithm" IEEE Trans. Autom. Sci. Eng. (2023) 10.1109/tase.2023.3296733

[17]

Velasco "A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies" Math. Probl. Eng. (2021)

[18]

Starfish optimization algorithm (SFOA): a bio-inspired metaheuristic algorithm for global optimization compared with 100 optimizers

Changting Zhong, Gang Li, Zeng Meng et al.

Neural Computing and Applications 2024 10.1007/s00521-024-10694-1

[19]

Chen "Competition of tribes and cooperation of members algorithm: An evolutionary computation approach for model free optimization" Expert Syst. Appl. (2025) 10.1016/j.eswa.2024.125908

[20]

Wang "Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach" IEEE Trans. Ind. Inform. (2024) 10.1109/tii.2023.3348811

[21]

Wang "A multi-objective discrete flower pollination algorithm for stochastic two-sided partial disassembly line balancing problem" Comput. Ind. Eng. (2019) 10.1016/j.cie.2019.03.017

[22]

Zhao, Z., Li, X., Liu, S., Zhou, M., and Yang, X. (2024). Multi-Mobile-Robot Transport and Production Integrated System Optimization. IEEE Trans. Autom. Sci. Eng., 1–12. 10.1109/tase.2024.3421889

[23]

Tian "Modeling and Planning for Dual-Objective Selective Disassembly Using and/or Graph and Discrete Artificial Bee Colony" IEEE Trans. Ind. Inform. (2018) 10.1109/tii.2018.2884845

[24]

Zhao, Z., Li, S., Liu, S., Zhou, M., Li, X., and Yang, X. (2024). Lexicographic Dual-Objective Path Finding in Multi-Agent Systems. IEEE Trans. Autom. Sci. Eng., 1–11. 10.1109/tase.2024.3440169

Metrics

1

Citations

24

References

Details

Published: Mar 06, 2025
Vol/Issue: 13(5)
Pages: 880
License: View

Authors

X

Xiaoyu Niu

College of of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun 113001, China

X

Xiwang Guo

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

P

Peisheng Liu

College of of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun 113001, China

J

Jiacun Wang

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

S

Shujin Qin

Research Center of the Economic and Social Development of Henan East Provincial Joint, Shangqiu Normal University, Shangqiu 476000, China

L

Liang Qi

Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266000, China

B

Bin Hu

Department of Computer Science and Technology, Kean University, Union, NJ 07083, USA

Y

Yingjun Ji

Faculty of Information, Liaoning University, Shenyang 110036, China

Funding

The National Local Joint Engineering Laboratory for Optimization of Petrochemical Process Operation and Energy Saving Technology Award: LJ232410148002

the Innovation Team Project of the Educational Department of Liaoning Province Award: LJ232410148002

Cite This Article

Xiaoyu Niu, Xiwang Guo, Peisheng Liu, et al. (2025). Hybrid Disassembly Line Balancing of Multi-Factory Remanufacturing Process Considering Workers with Government Benefits. Mathematics, 13(5), 880. https://doi.org/10.3390/math13050880

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

You May Also Like