Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm

Ren, Yaping; Zhao, Fu; Tian, Guangdong; Lin, Wenwen; Meng, Leilei; Li, Hongliang

doi:10.1016/j.jclepro.2017.10.308

Cited by 80 publications

(15 citation statements)

References 30 publications

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“…Avikal et al [7] used the Kano model, fuzzy analytic hierarchy process (AHP), and modified technique for Order Preference by Similarity to an Ideal Solution (M-TOPSIS) method to solve the DLBP. Ren et al [8] proposed a disassembly line balanced multi-objective optimization method based on the 2-optimal algorithm and multi-criteria decision making (MCDM). The DLBP also can be solved based on Monte Carlo reinforcement learning methods [9].…”

Section: Disassembly Line Balancing Problemmentioning

confidence: 99%

Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards

Meng

Zhang

2020

Sustainability

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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.

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Section: Disassembly Line Balancing Problemmentioning

confidence: 99%

Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards

Meng

Zhang

2020

Sustainability

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“…At present, three methods of defuzzification are applied to transform the fuzzy number into a crisp number [35]- [37].…”

Section: B: Defuzzificationmentioning

confidence: 99%

“…It is noteworthy that a large number of studies [38], [40] which are related to maintenance evaluation do not focus on the interaction among criterions. However, the interaction among criterions is usually inevitable in evaluation process [37]. Hence, Choquet integral based on λ-fuzzy measure is used to overcome the shortcoming for evaluating the team maintenance capability.…”

Section: B: Defuzzificationmentioning

confidence: 99%

Selective Maintenance Planning Considering Team Capability Based on Fuzzy Integral and Dynamic Artificial Bee Colony Algorithm

Zhang

Shan

et al. 2019

IEEE Access

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For the selective maintenance planning (SMP), the decision makers are required to select components to be maintained as well as how to repair within a finite break between missions considering limited time, cost, and other resources. However, a few studies analyze the impact of team maintenance capability on SMP. In this paper, novel SMP models considering team maintenance capability and imperfect maintenance are introduced, which is ignored in current studies. In addition, a two-phase method integrating fuzzy Choquet integral based on λ-fuzzy measure and dynamic multi-objective artificial bee colony (DMABC) is proposed to optimize the SMP models. Fuzzy Choquet integral is used to deal with interaction among criterions and the DMABC is applied to obtain non-dominated solutions with different maintenance capability. Finally, the performance comparison experiment is made between the DMABC and NSGA-II, and the validity of the proposed algorithm has been demonstrated by the results.

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“…Bu araştırmada elde edilen sonuçlar yazındaki sonuçlar ile karşılaştırıldığında yazında elde edilen en iyi çözüm olan Ren (2018) ile aynı derecede iyi sonuçlar elde edildiği görülmektedir. Sonuçlar aynı olduğu için çözüm yöntemin karmaşıklığı analiz edilmiştir.…”

Section: Sonuçunclassified

Demontaj Hattı Dengeleme Problemi için ELECTRE’ye Dayalı Bir Çözüm Yaklaşımı Önerisi

Deniz

Özçelik

2019

Alphanumeric Journal

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Disassembly is a crucial subject in view of the fact that it has a pivotal role in reverse supply chains. It will be possible to make effective disassembly operations with disassembly line balancing. In this study, ELECTRE is used for the first time in the literature to determine the assignment priorities of the tasks to work stations. Two algorithms are also proposed to improve the initial assignments. The first improvement algorithm aims to minimize the workstation number if it is possible. On the other hand, the aim of the second improvement is to make a better balance with interchanging the tasks between workstations. The result is compared with the results in the literature. A novel comparison criteria is also proposed called Deviation Mean (DM) in this study.

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Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm

Cited by 80 publications

References 30 publications

Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards

Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards

Selective Maintenance Planning Considering Team Capability Based on Fuzzy Integral and Dynamic Artificial Bee Colony Algorithm

Demontaj Hattı Dengeleme Problemi için ELECTRE’ye Dayalı Bir Çözüm Yaklaşımı Önerisi

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