Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches

Yılmaz, Ömer Faruk; Yazıcı, Büşra

doi:10.1007/s10479-020-03902-3

Cited by 30 publications

(5 citation statements)

References 73 publications

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“…Items with * indicate that the objective function is normalized. Normalization function is shown in Equation (18) (Yılmaz and Yazıcı, 2022). …”

Section: Computational Resultsmentioning

confidence: 99%

“…On the other hand, Kucukkoc et al (2020) proposed linear and non-linear models in which the DALBP in a Type E station where many workers work. In another study, Yılmaz and Yazıcı (2022) considered teamwork and worker heterogeneity, which is an effective method in the use of time and resources, in multi-objective DALBPs. Finally, Liu et al (2022), discussed the stochastic version of the worker assignment problem with multi-model DALBP.…”

Section: Manual Disassembly Line Balancingmentioning

confidence: 99%

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Bi-objective optimization-based multi-criteria decision-making framework for disassembly line balancing and employee assignment problem

Deniz

Özçelik

2023

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PurposeAlthough disassembly balancing lines has been studied for over two decades, there is a gap in the robotic disassembly. Moreover, combination of problem with heterogeneous employee assignment is also lacking. The hazard related with the tasks performed on disassembly lines on workers can be reduced by the use of robots or collaborative robots (cobots) instead of workers. This situation causes an increase in costs. The purpose of the study is to propose a novel version of the problem and to solve this bi-objective (minimizing cost and minimizing hazard simultaneously) problem.Design/methodology/approachThe epsilon constraint method was used to solve the bi-objective model. Entropy-based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization methods for Enrichment Evaluation (PROMETHEE) methods were used to support the decision-maker. In addition, a new criterion called automation rate was proposed. The effects of factors were investigated with full factor experiment design.FindingsThe effects of all factors were found statistically significant on the solution time. The combined effect of the number of tasks and number of workers was also found to be statistically significant.Originality/valueIn this study, for the first time in the literature, a disassembly line balancing and employee assignment model was proposed in the presence of heterogeneous workers, robots and cobots to simultaneously minimize the hazard to the worker and cost.

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“…Items with * indicate that the objective function is normalized. Normalization function is shown in Equation (18) (Yılmaz and Yazıcı, 2022). …”

Section: Computational Resultsmentioning

confidence: 99%

Section: Manual Disassembly Line Balancingmentioning

confidence: 99%

Bi-objective optimization-based multi-criteria decision-making framework for disassembly line balancing and employee assignment problem

Deniz

Özçelik

2023

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“…(22) Store Q step2 in the list QS step2 . ( 23) else (24) If PPD is used to describe the precedence constraints between tasks, determine the position of the shadow immediate preceding task of task i in Q step1 , denoted as pos Spre , and then insert task i at the position closest to pos mi and after pos Spre , denoted as pos insert . If the interference matrix is used to describe the precedence constraints between tasks, determine the position of the shadow immediate preceding task of task i in Q step1 in the o direction, where o is the disassembly direction of task i. pos mi is the position of task i of product m in Q step1 .…”

Section: Traditional Crowding Distance Calculation Methodmentioning

confidence: 99%

“…Given the advantages of NSGA-II, some scholars have also used it to handle disassembly line balancing problems. For example, Yılmaz et al [24] used the NSGA-II algorithm to solve disassembly line balancing problems with two diferent worker allocation strategies and achieved excellent results. Additionally, through Yılmaz et al's research, it was found that using the NSGA-II algorithm to solve DLBP requires a reasonable design of crossover and mutation operators.…”

Section: Introductionmentioning

confidence: 99%

A New Pareto Discrete NSGAII Algorithm for Disassembly Line Balance Problem

Xu,

Han,

et al. 2023

International Journal of Intelligent Systems

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With the increasing variety and quantity of end-of-life (EOL) products, the traditional disassembly process has become inefficient. In response to this phenomenon, this article proposes a random multiproduct U-shaped mixed-flow incomplete disassembly line balancing problem (MUPDLBP). MUPDLBP introduces a mixed disassembly method for multiple products and incomplete disassembly method into the traditional DLBP, while considering the characteristics of U-shaped disassembly lines and the uncertainty of the disassembly process. First, mixed-flow disassembly can improve the efficiency of disassembly lines, reducing factory construction and maintenance costs. Second, by utilizing the characteristics of incomplete disassembly to reduce the number of dismantled components and the flexibility and efficiency of U-shaped disassembly lines in allocating disassembly tasks, further improvement in disassembly efficiency can be achieved. In addition, this paper also addresses the characteristics of EOL products with heavy weight and high rigidity. While retaining the basic settings of MUPDLBP, the stability of the assembly during the disassembly process is considered, and a new problem called MUPDLBP_S, which takes into account the disassembly stability, is further proposed. The corresponding mathematical model is provided. To obtain high-quality disassembly plans, a new and improved algorithm called INSGAII is proposed. The INSGAII algorithm uses the initialization method based on Monte Carlo tree simulation (MCTI) and the Group Global Crowd Degree Comparison (GCDC) operator to replace the initialization method and crowding distance comparison operator in the NSGAII algorithm, effectively improving the coverage of the initial population individuals in the entire solution space and the evenness and spread of the Pareto front. Finally, INSGAII’s effectiveness has been affirmed by tackling both current disassembly line balancing problems and the proposed MUPDLBP and MUPDLBP_S. Importantly, INSGAII outshines six comparison algorithms with a top rank of 1 in the Friedman test, highlighting its superior performance.

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“…At present, the research system of supply chain optimization is relatively perfect, and different studies adopt different methods to optimize the supply chain from different angles. Yılmaz et al [38] used disassembly line balance knowledge to study the multiobjective optimization problem, and finally realized the optimization of the supply chain operation process. This method is usually used for optimization in the production process.…”

Section: Introductionmentioning

confidence: 99%

A Study of Electronic Product Supply Chain Decisions Considering Quality Control and Cross-Channel Returns

2023

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This article focuses on the return problem of electronic products caused by the low level of quality control in the production process. Based on previous research, a centralized decision model (DM) and four kinds of decentralized DMs are constructed according to the differences in the supply chain decision order and the return loss bearers. Moreover, the impact of quality control on the return rate and market demand is also considered in the model research to achieve the optimization of the model. Using Stackelberg game knowledge to compare and analyze supply chain decisions, profits and influencing factors in different models, the final conclusions are drawn: (1) the decision is optimal and the profit is the highest in the centralized DM; (2) when the manufacturer dominates the supply chain decision, the difference in return loss bearers does not affect the supply chain decision and profit; (3) compared with other decentralized DMs, when the retailer dominates the supply chain decision and the manufacturer bears the return loss, the supply chain decision is better and the profit is higher; (4) the quality control level and the total profit in the five supply chain models are proportional to the quality control effect and the consumer perception of quality control. In addition, this paper introduces a joint contract to coordinate the supply chain under the decentralized DM and achieves the desired results. Finally, the relevant research findings and the validity of the contract are verified in the arithmetic analysis.

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Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches

Cited by 30 publications

References 73 publications

Bi-objective optimization-based multi-criteria decision-making framework for disassembly line balancing and employee assignment problem

Bi-objective optimization-based multi-criteria decision-making framework for disassembly line balancing and employee assignment problem

A New Pareto Discrete NSGAII Algorithm for Disassembly Line Balance Problem

A Study of Electronic Product Supply Chain Decisions Considering Quality Control and Cross-Channel Returns

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