Abstract
End-of-life (EOL) electromechanical products often have multiple failure characteristics and material hazard attributes. These factors create uncertain disassembly task sequences and affect the remanufacturing cost, environmental sustainability, and disassembly efficiency of the remanufacturing disassembly line system. To address this problem, a novel multi-constraint remanufacturing disassembly line balancing model (MC-RDLBM) is constructed in this article, which accounts for the failure characteristics of the parts and material hazard constraints. To assign the disassembly task reasonably, a disassembly priority decision-making model was presented to describe the relationship between the failure layer, the material hazards layer, and the economic feasibility layer. Furthermore, the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) optimization for the MC-RDLBM is improved. To increase the convergence speed of the algorithm, an initial population construction method is designed, which includes the component failure and material hazards. Moreover, a novel genetic algorithm evolution rule with a Pareto non-dominant relation and crowded distance constraint is established, which expands the search scope of the chromosome’s autonomous evolution and avoids local convergence. Furthermore, a Pareto grade-based evaluation strategy for non-dominant solutions is proposed to eliminate the invalid remanufacturing disassembly task sequences. Finally, a case study verified the effectiveness and feasibility of the proposed method.
Highlights
Remanufacturing aims to recover the residual value of end-of-life (EOL) products
Aiming at minimizing the number of workstations and equilibrium rate of the remanufacturing disassembly line, and maximizing the remanufacturing cost, a mathematical model of multi-constraint remanufacturing disassembly line balance (MC-RDLB) optimization problem is presented with multiple constraints related to failures and material hazards
The optimization of the RDLB aims to obtain a reasonable allocation of disassembly tasks with some co(n1s)tDraaitnatps.reIpt ainractliuond.eTshtehrmeaetrsitcaegseAs.and B are constructed by analyzing the disassembly process scheme of the EOL product, and the comprehensive priority relation matrix S is derived
Summary
Remanufacturing aims to recover the residual value of end-of-life (EOL) products. Disassembly is the key step of remanufacturing. The study of the disassembly line balancing problem (DLBP) is attracting widespread attention. Based on Future Study Realization Analysis (FSRA) [1], the DLBP must be further studied in terms of various factors, including optimization efficiency, combination with the actual remanufacturing enterprises, and its environmental performance [2]. Unlike a traditional disassembly line, a remanufacturing disassembly line (RDL) aims to obtain remanufacturing cores with the minimum remanufacturing costs and environmental impact. The EOL electromechanical products often have a large number of uncertain failure modes and material hazard attributes, which are closely related to a product’s remanufacturability. The higher the material hazards are, the greater the environmental impact is and the higher the disassembly priority of the remanufacturing disassembly line system becomes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.