Title: Multi-objective optimisation of selective U-shaped disassembly lines for sustainable manufacturing systems

Authors: Jiaqi Hu; Yonggao Fu; Chao Wan; Shali You; Manqian Xie; Rui Jin

Addresses: School of Mechanical Engineering, Hefei University of Technology, 230009, Hefei, China; State Key Laboratory of Environmental Adaptability for Industrial Products, China National Electric Apparatus Research Institute Co., Ltd., 510663, Guangzhou, China ' State Key Laboratory of Environmental Adaptability for Industrial Products, China National Electric Apparatus Research Institute Co., Ltd., 510663, Guangzhou, China ' State Key Laboratory of Environmental Adaptability for Industrial Products, China National Electric Apparatus Research Institute Co., Ltd., 510663, Guangzhou, China ' State Key Laboratory of Environmental Adaptability for Industrial Products, China National Electric Apparatus Research Institute Co., Ltd., 510663, Guangzhou, China ' State Key Laboratory of Environmental Adaptability for Industrial Products, China National Electric Apparatus Research Institute Co., Ltd., 510663, Guangzhou, China ' School of Mechanical Engineering, Hefei University of Technology, 230009, Hefei, China

Abstract: The research presented in the paper directly contributes to the broader domain of manufacturing systems by addressing a critical aspect of sustainable production - end-of-life product disassembly. Specifically, it introduces a selective U-shaped disassembly line balancing model that integrates multiple objectives: operational efficiency, carbon footprint reduction, and worker safety. This model enhances conventional manufacturing system design by incorporating reverse logistics and environmentally conscious practices, thereby aligning with the goals of circular manufacturing. The application of an advanced dual-stage optimisation artificial bee colony (DOABC) algorithm exemplifies the integration of intelligent optimisation techniques into manufacturing planning and control. This approach showcases how metaheuristics can solve complex, multi-objective line balancing problems. This research is especially relevant for modern manufacturing systems seeking to improve lifecycle performance, resource recovery, and compliance with environmental regulations while maintaining cost-effectiveness and system flexibility.

Keywords: manufacturing systems; disassembly line balancing; multi-objective optimisation; artificial bee colony algorithm.

DOI: 10.1504/IJMMS.2025.153447

International Journal of Mechatronics and Manufacturing Systems, 2025 Vol.18 No.3, pp.241 - 263

Received: 27 May 2025
Accepted: 03 Nov 2025
Published online: 08 May 2026 *

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