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Journal articles on the topic 'Disassembly line balancing'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Hu, Youxi, Chao Liu, Ming Zhang, Yu Jia, and Yuchun Xu. "A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing." Sensors 23, no. 3 (2023): 1652. http://dx.doi.org/10.3390/s23031652.

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Remanufacturing prolongs the life cycle and increases the residual value of various end-of-life (EoL) products. As an inevitable process in remanufacturing, disassembly plays an essential role in retrieving the high-value and useable components of EoL products. To disassemble massive quantities and multi-types of EoL products, disassembly lines are introduced to improve the cost-effectiveness and efficiency of the disassembly processes. In this context, disassembly line balancing problem (DLBP) becomes a critical challenge that determines the overall performance of disassembly lines. Currently

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2

Xu, Gongdan, Zhiwei Zhang, Zhiwu Li, Xiwang Guo, Liang Qi, and Xianzhao Liu. "Multi-Objective Discrete Brainstorming Optimizer to Solve the Stochastic Multiple-Product Robotic Disassembly Line Balancing Problem Subject to Disassembly Failures." Mathematics 11, no. 6 (2023): 1557. http://dx.doi.org/10.3390/math11061557.

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Robots are now widely used in product disassembly lines, which significantly improves end-of-life (EOL) product disassembly efficiency. Most of the current research on disassembly line balancing problems focuses on decomposing one product. More than one product can be disassembled concurrently, which can further improve the efficiency. Moreover, uncertainty such as the depreciation of EOL products, may result in disassembly failure. In this research, a stochastic multi-product robotic disassembly line balancing model is established using an AND/OR graph. It takes the precedence relationship, c

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3

Zhang, Qi, Yang Xing, Man Yao, et al. "An Improved Discrete Bat Algorithm for Multi-Objective Partial Parallel Disassembly Line Balancing Problem." Mathematics 12, no. 5 (2024): 703. http://dx.doi.org/10.3390/math12050703.

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Product disassembly is an effective means of waste recycling and reutilization that has received much attention recently. In terms of disassembly efficiency, the number of disassembly skills possessed by workers plays a crucial role in improving disassembly efficiency. Therefore, in order to effectively and reasonably disassemble discarded products, this paper proposes a partial parallel disassembly line balancing problem (PP-DLBP) that takes into account the number of worker skills. In this paper, the disassembly tasks and the disassembly relationships between components are described using A

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4

Altekin, F. Tevhide, Levent Kandiller, and Nur Evin Ozdemirel. "Profit-oriented disassembly-line balancing." International Journal of Production Research 46, no. 10 (2008): 2675–93. http://dx.doi.org/10.1080/00207540601137207.

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5

Filip, Florin Gheorghe. ""The Disassembly Line: Balancing and Modeling" - Book Review." International Journal of Computers Communications & Control 6, no. 3 (2011): 581. http://dx.doi.org/10.15837/ijccc.2011.3.2137.

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<p>This book is about the disassembly of end-of-life products with particular emphasis on methods and techniques for solving the Disassembly Line Balancing Problem.</p><p>Disassembly is viewed as "the systematic separation and extracting valuable entities for possible future re-usage". In fact, disassembly is a distinct phase of the product lifecycle. It follows the "before life" phases (such as design and economical evaluation), "useful period" phases (such as manufacturing, distribution, usage and maintenance) and "end of life" phases (such as collecting, sorting). Disassem

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6

Paprocka, Iwona, and Bożena Skołud. "A Predictive Approach for Disassembly Line Balancing Problems." Sensors 22, no. 10 (2022): 3920. http://dx.doi.org/10.3390/s22103920.

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In selective serial disassembly sequence planning, when the target node (component) is reached, the selective disassembly task is completed and the refurbished component is repaired, reused or remanufactured. Since the efficient utilization of existing resources is necessary, it is crucial to predict disassembly operation times and the condition of joints for recycling, reusing or remanufacturing. The method of estimating the disassembly times of a joint if it is intended for remanufacturing, recycling and reuse is an important and urgent requirement for research development and results. The a

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7

Jin, Liang, Xiao Zhang, Yilin Fang, and Duc Truong Pham. "Transfer Learning-Assisted Evolutionary Dynamic Optimisation for Dynamic Human-Robot Collaborative Disassembly Line Balancing." Applied Sciences 12, no. 21 (2022): 11008. http://dx.doi.org/10.3390/app122111008.

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In a human-robot collaborative disassembly line, multiple people and robots collaboratively perform disassembly operations at each workstation. Due to dynamic factors, such as end-of-life product quality and human capabilities, the line balancing problem for the human-robot collaborative disassembly line is a dynamic optimisation problem. Therefore, this paper investigates this problem in detail and commits to finding the evolutionary dynamic optimisation. First, a task-based dynamic disassembly process model is proposed. The model can characterise all feasible task sequences of disassembly op

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8

Kalayci, Can B., Olcay Polat, and Surendra M. Gupta. "A variable neighbourhood search algorithm for disassembly lines." Journal of Manufacturing Technology Management 26, no. 2 (2015): 182–94. http://dx.doi.org/10.1108/jmtm-11-2013-0168.

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Purpose – The purpose of this paper is to efficiently solve disassembly line balancing problem (DLBP) and the sequence-dependent disassembly line balancing problem (SDDLBP) which are both known to be NP-complete. Design/methodology/approach – This manuscript utilizes a well-proven metaheuristics solution methodology, namely, variable neighborhood search (VNS), to address the problem. Findings – DLBPs are analyzed using the numerical instances from the literature to show the efficiency of the proposed approach. The proposed algorithm showed superior performance compared to other techniques prov

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9

Mete, Süleyman, Zeynel Abidin Çil, Eren Özceylan, and Kürşad Ağpak. "Resource Constrained Disassembly Line Balancing Problem." IFAC-PapersOnLine 49, no. 12 (2016): 921–25. http://dx.doi.org/10.1016/j.ifacol.2016.07.893.

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10

Xia, Xuhui, Wei Liu, Zelin Zhang, Lei Wang, Jianhua Cao, and Xiang Liu. "A Balancing Method of Mixed-model Disassembly Line in Random Working Environment." Sustainability 11, no. 8 (2019): 2304. http://dx.doi.org/10.3390/su11082304.

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Disassembly is a necessary link in reverse supply chain and plays a significant role in green manufacturing and sustainable development. However, the mixed-model disassembly of multiple types of retired mechanical products is hard to be implemented by random influence factors such as service time of retired products, degree of wear and tear, proficiency level of workers and structural differences between products in the actual production process. Therefore, this paper presented a balancing method of mixed-model disassembly line in a random working environment. The random influence of structure

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11

Wang, Y. J., N. D. Wang, S. M. Cheng, et al. "Optimization of disassembly line balancing using an improved multi-objective Genetic Algorithm." Advances in Production Engineering & Management 16, no. 2 (2021): 240–52. http://dx.doi.org/10.14743/apem2021.2.397.

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Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. Product disassembly is an effective way to recycle waste products, and it is a necessary condition to make the product life cycle complete. According to the characteristics of the product disassembly line, based on minimizing the number of workstations and balancing the idle time in the station, the harmful index, the demand index, and the number of direction changes are proposed as new optimization objectives. So based on the analysis of the traditional genetic algorithm into t

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12

Wang, Y. J., N. D. Wang, S. M. Cheng, et al. "Optimization of disassembly line balancing using an improved multi-objective Genetic Algorithm." Advances in Production Engineering & Management 16, no. 2 (2021): 240–52. http://dx.doi.org/10.14743/apem2021.2.397.

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Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. Product disassembly is an effective way to recycle waste products, and it is a necessary condition to make the product life cycle complete. According to the characteristics of the product disassembly line, based on minimizing the number of workstations and balancing the idle time in the station, the harmful index, the demand index, and the number of direction changes are proposed as new optimization objectives. So based on the analysis of the traditional genetic algorithm into t

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13

Cao, Jianhua, Xuhui Xia, Lei Wang, Zelin Zhang, and Xiang Liu. "A Novel Multi-Efficiency Optimization Method for Disassembly Line Balancing Problem." Sustainability 11, no. 24 (2019): 6969. http://dx.doi.org/10.3390/su11246969.

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Disassembly is an indispensable part in remanufacturing process. Disassembly line balancing and disassembly mode have direct effects on the disassembly efficiency and resource utilization. Recent researches about disassembly line balancing problem (DLBP) either considered the highest productivity, lowest disassembly cost or some other performance measures. No one has considered these metrics comprehensively. In practical production, ignoring the ratio of resource input and value output within remanufacturing oriented disassembly can result in inefficient or pointless remanufacturing operations

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14

Diri Kenger, Zülal, Çağrı Koç, and Eren Özceylan. "Integrated disassembly line balancing and routing problem." International Journal of Production Research 58, no. 23 (2020): 7250–68. http://dx.doi.org/10.1080/00207543.2020.1740346.

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15

Ilgin, Mehmet Ali, Hakan Akçay, and Ceyhun Araz. "Disassembly line balancing using linear physical programming." International Journal of Production Research 55, no. 20 (2017): 6108–19. http://dx.doi.org/10.1080/00207543.2017.1324225.

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16

Bentaha, Mohand Lounes, Olga Battaïa, and Alexandre Dolgui. "Disassembly Line Balancing and Sequencing under Uncertainty." Procedia CIRP 15 (2014): 239–44. http://dx.doi.org/10.1016/j.procir.2014.06.016.

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17

Duta, L., I. Caciula, and P. C. Patic. "Column generation approach for disassembly line balancing." IFAC-PapersOnLine 49, no. 12 (2016): 916–20. http://dx.doi.org/10.1016/j.ifacol.2016.07.892.

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18

McGovern, Seamus M., and Surendra M. Gupta. "Unified assembly- and disassembly-line model formulae." Journal of Manufacturing Technology Management 26, no. 2 (2015): 195–212. http://dx.doi.org/10.1108/jmtm-11-2013-0169.

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Purpose – There is a rich body of literature on sequencing assembly and on sequencing disassembly, but little that either fuses or contrasts the two, which may be valuable for long-range planning in the closed-loop supply chain and simply convenient in terms of consistency in nomenclature and mathematical formulations. The purpose of this paper is to concisely unify and summarize assembly and disassembly formulae – as well as to add new formulations for completeness – and then demonstrate the similarities and differences between assembly and disassembly. Design/methodology/approach – Along wit

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19

McGovern, Seamus M., and Surendra M. Gupta. "A balancing method and genetic algorithm for disassembly line balancing." European Journal of Operational Research 179, no. 3 (2007): 692–708. http://dx.doi.org/10.1016/j.ejor.2005.03.055.

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20

Cui, Xinshuo, Qingbo Meng, Jiacun Wang, et al. "An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems." Mathematics 13, no. 2 (2025): 256. https://doi.org/10.3390/math13020256.

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In order to protect the environment, an increasing number of people are paying attention to the recycling and remanufacturing of EOL (End-of-Life) products. Furthermore, many companies aim to establish their own closed-loop supply chains, encouraging the integration of disassembly and assembly lines into a unified closed-loop production system. In this work, a hybrid production line that combines disassembly and assembly processes, incorporating human–machine collaboration, is designed based on the traditional disassembly line. A mathematical model is proposed to address the human–machine coll

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21

Xu, ZhenYu, Yong Han, ZhenXin Li, YiXin Zou, and YuWei Chen. "A New Pareto Discrete NSGAII Algorithm for Disassembly Line Balance Problem." International Journal of Intelligent Systems 2023 (December 18, 2023): 1–47. http://dx.doi.org/10.1155/2023/8847164.

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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 disassembl

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22

Yin, Tao, Yuanzhi Wang, Shixi Cai, Yuxun Zhang, and Jianyu Long. "Unified Modeling and Multi-Objective Optimization for Disassembly Line Balancing with Distinct Station Configurations." Mathematics 12, no. 17 (2024): 2734. http://dx.doi.org/10.3390/math12172734.

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Disassembly line balancing (DLB) is a crucial optimization item in the recycling and remanufacturing of waste products. Considering the variations in the number of operators assigned to each station, this study investigates DLBs with six distinct station configurations: single-manned, multi-manned, single-robotic, multi-robotic, single-manned–robotic, and multi-manned–robotic setups. First, a unified mixed-integer programming (MIP) model is established for Type-I DLBs with each configuration to minimize four objectives: the number of stations, the number of operators, the total disassembly tim

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23

Qin, Shujin, Jiaxin Wang, Jiacun Wang, Xiwang Guo, Liang Qi, and Yaping Fu. "Linear Disassembly Line Balancing Problem with Tool Deterioration and Solution by Discrete Migratory Bird Optimizer." Mathematics 12, no. 2 (2024): 342. http://dx.doi.org/10.3390/math12020342.

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In recent years, the global resource shortage has become a serious issue. Recycling end-of-life (EOL) products is conducive to resource reuse and circular economy and can mitigate the resource shortage issue. The disassembly of EOL products is the first step for resource reuse. Disassembly activities need tools, and tool deterioration occurs inevitably during the disassembly process. This work studies the influence of tool deterioration on disassembly efficiency. A disassembly line balancing model with the goal of maximizing disassembly profits is established, in which tool selection and assig

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24

Lambert, A. J. D. "A HEURISTIC FOR ASSEMBLY AND DISASSEMBLY LINE BALANCING." IFAC Proceedings Volumes 40, no. 2 (2007): 69–74. http://dx.doi.org/10.3182/20070523-3-es-4907.00013.

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25

Özceylan, Eren, and Turan Paksoy. "Reverse supply chain optimisation with disassembly line balancing." International Journal of Production Research 51, no. 20 (2013): 5985–6001. http://dx.doi.org/10.1080/00207543.2013.784405.

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26

BEDiR, Neşet, Hacı Mehmet ALAĞAŞ, and Tamer EREN. "A Disassembly Line Balancing with Multicriteria Decision Making." Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi 9, no. 1 (2017): 11–18. http://dx.doi.org/10.29137/umagd.346165.

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27

Bentaha, Mohand Lounes, Olga Battaïa, and Alexandre Dolgui. "Lagrangian Relaxation for Stochastic Disassembly Line Balancing Problem." Procedia CIRP 17 (2014): 56–60. http://dx.doi.org/10.1016/j.procir.2014.02.049.

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28

Wang, Jiacun, GuiPeng Xi, XiWang Guo, Shixin Liu, ShuJin Qin, and Henry Han. "Reinforcement learning for Hybrid Disassembly Line Balancing Problems." Neurocomputing 569 (February 2024): 127145. http://dx.doi.org/10.1016/j.neucom.2023.127145.

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29

Wang, Jiacun, XiWang Guo, Shujin Qin, Qi Zhang, and Fuguang Huang. "Discrete Bat Optimizer for Disassembly Line Balancing Problem." JOURNAL OF Cyber-Physical-Social Intelligence 1 (December 15, 2022): 13–25. http://dx.doi.org/10.61702/tdns2312.

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The recycling of end-of-life (EOL) products is the primary link in the remanufacturing process. EOL products rely on disassembly lines to retain valuable parts for remanufacturing. In this work, a disassembly line balancing model is established based on an AND/OR graph. It takes precedence relation, cycle time restriction, failure risk, and time uncertainty into consideration and aims to maximize the dismantling proﬁt and minimize the energy consumption. Then, a multi-objective discrete bat optimizer based on Pareto rules is designed according to the problem model, and a precedence preserving

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30

Wang, Jiacun, XiWang Guo, Shujin Qin, Qi Zhang, and Fuguang Huang. "Discrete Bat Optimizer for Disassembly Line Balancing Problem." JOURNAL OF Cyber-Physical-Social Intelligence 1 (December 15, 2022): 13–25. http://dx.doi.org/10.61702/biqd5086.

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The recycling of end-of-life (EOL) products is the primary link in the remanufacturing process. EOL products rely on disassembly lines to retain valuable parts for remanufacturing. In this work, a disassembly line balancing model is established based on an AND/OR graph. It takes precedence relation, cycle time restriction, failure risk, and time uncertainty into consideration and aims to maximize the dismantling proﬁt and minimize the energy consumption. Then, a multi-objective discrete bat optimizer based on Pareto rules is designed according to the problem model, and a precedence preserving

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31

Kazancoglu, Yigit, and Yesim Deniz Ozkan-Ozen. "Sustainable disassembly line balancing model based on triple bottom line." International Journal of Production Research 58, no. 14 (2019): 4246–66. http://dx.doi.org/10.1080/00207543.2019.1651456.

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32

Yang, Wanlin, Zixiang Li, Chenyu Zheng, Zikai Zhang, Liping Zhang, and Qiuhua Tang. "Multi-Objective Optimization for a Partial Disassembly Line Balancing Problem Considering Profit and Carbon Emission." Mathematics 12, no. 8 (2024): 1218. http://dx.doi.org/10.3390/math12081218.

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Disassembly lines are widely utilized to disassemble end-of-life products. Most of the research focuses on the complete disassembly of obsolete products. However, there is a lack of studies on profit and on carbon emission saved. Hence, this study considers the multi-objective partial disassembly line balancing problem with AND/OR precedence relations to optimize profit, saved carbon emission and line balance simultaneously. Firstly, a multi-objective mixed-integer programming model is formulated, which could optimally solve the small number of instances with a single objective. Meanwhile, an

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33

Sotskov, Yuri N. "Assembly and Production Line Designing, Balancing and Scheduling with Inaccurate Data: A Survey and Perspectives." Algorithms 16, no. 2 (2023): 100. http://dx.doi.org/10.3390/a16020100.

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Assembly lines (conveyors) are traditional means of large-scale and mass-scale productions. An assembly line balancing problem is needed for optimizing the assembly process by configuring and designing an assembly line for the same or similar types of final products. This problem consists of designing the assembly line and distributing the total workload for manufacturing each unit of the fixed product to be assembled among the ordered workstations along the constructed assembly line. The assembly line balancing research is focused mainly on simple assembly line balancing problems, which are r

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34

Chao, Bao, Peng Liang, Chaoyong Zhang, and Hongfei Guo. "Multi-Objective Optimization for Mixed-Model Two-Sided Disassembly Line Balancing Problem Considering Partial Destructive Mode." Mathematics 11, no. 6 (2023): 1299. http://dx.doi.org/10.3390/math11061299.

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Large-volume waste products, such as refrigerators and automobiles, not only consume resources but also pollute the environment easily. A two-sided disassembly line is the most effective method to deal with large-volume waste products. How to reduce disassembly costs while increasing profit has emerged as an important and challenging research topic. Existing studies ignore the diversity of waste products as well as uncertain factors such as corrosion and deformation of parts, which is inconsistent with the actual disassembly scenario. In this paper, a partial destructive mode is introduced int

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35

Yang, Jing. "Review of Research on Human-Machine Collaboration in Disassembly Line Balancing Problem." International Journal of Global Economics and Management 2, no. 3 (2024): 37–43. http://dx.doi.org/10.62051/ijgem.v2n3.04.

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This paper aims to explore the research on the human-machine collaboration in the disassembly line balancing problem, in response to the importance of dismantling and reusing waste products. Human-machine collaboration in disassembly, as a method combining human intelligence with machine power, has the potential to enhance disassembly efficiency, reduce resource wastage, and minimize human exposure to hazards. However, due to the NP-hard nature of this problem, traditional exact algorithms perform poorly when facing large-scale and complex problems. Therefore, this paper explores the applicati

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36

Zhu, Dong, Xuesong Zhang, Xinyue Huang, Duc Truong Pham, and Changshu Zhan. "A Stochastic Sequence-Dependent Disassembly Line Balancing Problem with an Adaptive Large Neighbourhood Search Algorithm." Processes 13, no. 6 (2025): 1675. https://doi.org/10.3390/pr13061675.

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The remanufacturing of end-of-life products is an effective approach to alleviating resource shortages, environmental pollution, and global warming. As the initial step in the remanufacturing process, the quality and efficiency of disassembly have a decisive impact on the entire workflow. However, the complexity of product structures poses numerous challenges to practical disassembly operations. These challenges include not only conventional precedence constraints among disassembly tasks but also sequential dependencies, where interference between tasks due to their execution order can prolong

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37

Qin, Shujin, Xiaofei Zhang, Jiacun Wang, et al. "An Improved Q-Learning Algorithm for Optimizing Sustainable Remanufacturing Systems." Sustainability 16, no. 10 (2024): 4180. http://dx.doi.org/10.3390/su16104180.

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In our modern society, there has been a noticeable increase in pollution due to the trend of post-use handling of items. This necessitates the adoption of recycling and remanufacturing processes, advocating for sustainable resource management. This paper aims to address the issue of disassembly line balancing. Existing disassembly methods largely rely on manual labor, raising concerns regarding safety and sustainability. This paper proposes a human–machine collaborative disassembly approach to enhance safety and optimize resource utilization, aligning with sustainable development goals. A mixe

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38

Zeng, Yanqing, Zeqiang Zhang, Wei Liang, and Yu Zhang. "Balancing optimization for disassembly line of mixed homogeneous products with hybrid disassembly mode." Computers & Industrial Engineering 185 (November 2023): 109646. http://dx.doi.org/10.1016/j.cie.2023.109646.

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39

Cheng, Chen-Yang, Yin-Yann Chen, Pourya Pourhejazy, and Chih-Yu Lee. "Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation." Electronics 11, no. 4 (2022): 533. http://dx.doi.org/10.3390/electronics11040533.

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With growing concerns about the depletion of rare-earth elements, managing End-of-Life products has become a key sustainability initiative in the supply chains of global corporations. Recycling, the process of dismantling, separating, and recovery of components and raw materials from wastes, is technologically challenging and should be planned in such a way as to ensure operational efficiency as well as safety. This study explores the Disassembly Line Balancing Problem with Correlated Tasks (DLBP-CT), which is prevalent in the recycling of the Waste of Electrical and Electronic Equipment (WEEE

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40

Bentaha, M. L., O. Battaïa, and A. Dolgui. "L-shaped Algorithm for Stochastic Disassembly Line Balancing Problem." IFAC Proceedings Volumes 46, no. 9 (2013): 407–11. http://dx.doi.org/10.3182/20130619-3-ru-3018.00500.

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41

Liu, Ming, Xin Liu, Feng Chu, Feifeng Zheng, and Chengbin Chu. "Robust disassembly line balancing with ambiguous task processing times." International Journal of Production Research 58, no. 19 (2019): 5806–35. http://dx.doi.org/10.1080/00207543.2019.1659520.

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42

Paksoy, Turan, Aşkıner Güngör, Eren Özceylan, and Arif Hancilar. "Mixed model disassembly line balancing problem with fuzzy goals." International Journal of Production Research 51, no. 20 (2013): 6082–96. http://dx.doi.org/10.1080/00207543.2013.795251.

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43

Duta, L., F. Gh Filip, and J. M. Henrioud. "APPLYING EQUAL PILES APPROACH TO DISASSEMBLY LINE BALANCING PROBLEM." IFAC Proceedings Volumes 38, no. 1 (2005): 152–57. http://dx.doi.org/10.3182/20050703-6-cz-1902.01450.

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44

Laouini, Oumayma, Ilhem Slama, Faicel Hnaien, and Zied Jemai. "An overview on the disassembly line balancing under uncertainty." IFAC-PapersOnLine 58, no. 19 (2024): 25–30. http://dx.doi.org/10.1016/j.ifacol.2024.09.081.

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45

Ren, Yaping, Leilei Meng, Chaoyong Zhang, Qi Lu, and Guangdong Tian. "Multi-criterion decision making for disassembly line balancing problem." Procedia CIRP 80 (2019): 542–47. http://dx.doi.org/10.1016/j.procir.2019.01.008.

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46

Ming, Hao, Quan Liu, and Duc Truong Pham. "Multi-Robotic Disassembly Line Balancing with Uncertain Processing Time." Procedia CIRP 83 (2019): 71–76. http://dx.doi.org/10.1016/j.procir.2019.02.140.

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47

Kalaycılar, Eda Göksoy, Sakine Batun, and Meral Azizoğlu. "A Disassembly Line Balancing Problem with Hazardous Task Failures." IFAC-PapersOnLine 55, no. 10 (2022): 458–63. http://dx.doi.org/10.1016/j.ifacol.2022.09.436.

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48

Altekin, F. Tevhide. "A Piecewise Linear Model for Stochastic Disassembly Line Balancing." IFAC-PapersOnLine 49, no. 12 (2016): 932–37. http://dx.doi.org/10.1016/j.ifacol.2016.07.895.

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49

Zhao, Ziyan, Pengkai Xiao, Jiacun Wang, et al. "Improved Brain-Storm Optimizer for Disassembly Line Balancing Problems Considering Hazardous Components and Task Switching Time." Mathematics 12, no. 1 (2023): 9. http://dx.doi.org/10.3390/math12010009.

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Disassembling discarded electrical products plays a crucial role in product recycling, contributing to resource conservation and environmental protection. While disassembly lines are progressively transitioning to automation, manual or human–robot collaborative approaches still involve numerous workers dealing with hazardous disassembly tasks. In such scenarios, achieving a balance between low risk and high revenue becomes pivotal in decision making for disassembly line balancing, determining the optimal assignment of tasks to workstations. This paper tackles a new disassembly line balancing p

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Zhang, Xuesong, Jing Yuan, Xiaowen Chen, et al. "Development of an Improved Water Cycle Algorithm for Solving an Energy-Efficient Disassembly-Line Balancing Problem." Processes 10, no. 10 (2022): 1908. http://dx.doi.org/10.3390/pr10101908.

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Abstract:

Nowadays, there is a great deal of interest in the development of practical optimization models and intelligent solution algorithms for solving disassembly-line balancing problems. Based on the importance of energy efficiency of product disassembly and the trend for green remanufacturing, this paper develops a new optimization model for the energy-efficient disassembly-line balancing problem where the goal is to minimize the energy consumption generated during the disassembly-line operations. Since the proposed model is a complex optimization problem known as NP-hard, this study develops an im

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