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Reveals enhanced efficiency and reduced carbon footprint in sustainable manufacturing systems, indicating potential for improved lifecycle performance.
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.
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Hu et al. (2025) studied this question.
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