Relevant bibliographies by topics / Disassembly line balancing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Disassembly line balancing'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Disassembly line balancing"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Disassembly line balancing"

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Altekin, Fatma Tevhide. "Profit Oriented Disassembly Line Balancing." Phd thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605791/index.pdf.

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In this study, we deal with the profit oriented partial disassembly line balancing problem which seeks a feasible assignment of selected disassembly tasks to stations such that the precedence relations among the tasks are satisfied and the profit is maximized. We consider two versions of this problem. In the profit maximization per cycle problem (PC), we maximize the profit for a single disassembly cycle given the task times and costs, part revenues and demands and station costs. We propose a heuristic solution approach for PC based on the liner programming relaxation of our mixed integer prog
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Goksoy, Eda. "Disassembly Line Balancing Problem With Fixed Number Of Workstations And Finite Supply." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612060/index.pdf.

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In this thesis, we consider a Disassembly Line Balancing Problem (DLBP) with fixed number of workstations. We aim to maximize the total value of the recovered parts. We assume that there is a limited supply for the products to be disassembled. Different components can be obtained by disassembling different units of the product. Our aim is to assign the tasks to the workstations of the disassembly line so as to maximize the total value of the recovered parts. We present several upper and one lower bounding procedure. The results of our computational study have revealed the satisfactory behavi
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Hu, Peng. "Stochastic and multi-criteria optimization for remanufacturing industry." Electronic Thesis or Diss., université Paris-Saclay, 2023. https://www.biblio.univ-evry.fr/theses/2023/interne/2023UPASG070.pdf.

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Le désassemblage des produits en fin de vie (EOL) dans la remanufacturation a attiré une attention considérable ces dernières années en raison de ses avantages en matière d'économie de ressources non renouvelables, de protection de l'environnement et de promotion de la croissance économique. Dans la littérature existante, 1) la plupart des problèmes stochastiques d'équilibrage de la ligne de désassemblage supposent que les distributions de probabilité des paramètres incertains soient connues ; 2) la majorité des problèmes d'équilibrage de la ligne de désassemblage se concentrent sur un seul pr
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Bentaha, Mohand Lounes. "Conception combinatoire des lignes de désassemblage sous incertitudes." Thesis, Saint-Etienne, EMSE, 2014. http://www.theses.fr/2014EMSE0758/document.

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Les travaux présentés dans ce manuscrit portent sur la conception des lignes de désassemblageen contexte incertain. Une ligne de désassemblage consiste en unesuccession de postes de travail où les tâches sont exécutées séquentiellement au niveau de chaque poste. La conception d'un tel système, de revalorisationdes produits en fin de vie, peut être ramenée à un problème d'optimisation combinatoire.Ce dernier cherche à obtenir une configuration permettant d'optimiser certains objectifs enrespectant des contraintes techniques, économiques et écologiques.Dans un premier temps, nous décrivons les a
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"Profit Oriented Disassembly Line Balancing." Phd thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605791/index.pdf.

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Yang, Yu-Chia, and 楊育佳. "Applying Adaptive Genetic Algorithm and AND/OR Graph to Disassembly Line Balancing Problems." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/7tjxr7.

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碩士<br>國立清華大學<br>工業工程與工程管理學系所<br>105<br>Due to increasing environmental concerns, manufacturers are forced to take back their products at the end of products’ useful functional life. Manufacturers need to arrange how to recover product components and subassemblies for reuse, remanufacture, and recycle to extend the life of materials in use and reduce the disposal volume. However, disassembly is the first essential step on product recovery. The disassembly line balancing problem (DLBP) is the process of allocating a set of disassembly tasks to an ordered sequence of workstations in such a way th
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Books on the topic "Disassembly line balancing"

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M, Gupta Surendra, ed. The disassembly line: Balancing and modeling. McGraw-Hill, 2011.

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Book chapters on the topic "Disassembly line balancing"

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Weckenborg, Christian. "Disassembly Line Balancing with Collaborative Robots." In Operations Research Proceedings 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08623-6_57.

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Laili, Yuanjun, Yongjing Wang, Yilin Fang, and Duc Truong Pham. "Solutions for Robotic Disassembly Line Balancing." In Springer Series in Advanced Manufacturing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81799-2_10.

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Laili, Yuanjun, Yongjing Wang, Yilin Fang, and Duc Truong Pham. "Modelling of Robotic Disassembly Line Balancing." In Springer Series in Advanced Manufacturing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81799-2_6.

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Bentaha, Mohand Lounes, Olga Battaïa, and Alexandre Dolgui. "A Stochastic Formulation of the Disassembly Line Balancing Problem." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40352-1_50.

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Kalayci, Can B., Surendra M. Gupta, and Kenichi Nakashima. "A Simulated Annealing Algorithm for Balancing a Disassembly Line." In Design for Innovative Value Towards a Sustainable Society. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3010-6_143.

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Laili, Yuanjun, Yongjing Wang, Yilin Fang, and Duc Truong Pham. "Evolutionary Optimisation for Robotic Disassembly Sequence Planning and Line Balancing." In Springer Series in Advanced Manufacturing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81799-2_7.

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Shwetank Avikal. "A Heuristic Based on AHP and TOPSIS for Disassembly Line Balancing." In Advances in Intelligent Systems and Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0448-3_69.

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Laili, Yuanjun, Yongjing Wang, Yilin Fang, and Duc Truong Pham. "Solutions for Mixed-Model Disassembly Line Balancing with Multi-robot Workstations." In Springer Series in Advanced Manufacturing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81799-2_11.

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Singh, Rakshit Kumar, Amit Raj Singh, and Ravindra Kumar Yadav. "Disassembly Line Balancing Using Recursive Optimization in Presence of Task-Failure." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_48.

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Kaya, Ümran, Halil İbrahim Koruca, and Samia Chehbi-Gamoura. "Development of a Flexible Software for Disassembly Line Balancing with Heuristic Algorithms." In Artificial Intelligence and Applied Mathematics in Engineering Problems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36178-5_90.

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Conference papers on the topic "Disassembly line balancing"

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Guo, Feng, XiWang Guo, MengChu Zhou, Weitian Wang, ShuJin Qin, and Qi Kang. "Hybrid Disassembly Line Balancing for Human-robot Collaborative Remanufacturing." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711350.

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Wang, Haokun, Feng Guo, Xiwang Guo, Jiacun Wang, Shujin Qin, and Ying Tang. "Monarch Butterfly Optimization Algorithm for Human-Robot Collaboration Multi-Objective Disassembly Line Balancing Problem." In 2024 International Conference on Cyber-Physical Social Intelligence (ICCSI). IEEE, 2024. https://doi.org/10.1109/iccsi62669.2024.10799250.

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Li, Jialong, XiWang Guo, Jiacun Wang, ShuJin Qin, Liang Qi, and Qi Kang. "Improved Dingo Optimization Algorithm for Human-robot Collaborative U-shaped Disassembly Line Balancing Problem." In 2024 International Conference on Cyber-Physical Social Intelligence (ICCSI). IEEE, 2024. https://doi.org/10.1109/iccsi62669.2024.10799439.

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Xiao, Lei, Xinyi Yang, XiWang Guo, Shujin Qin, Qi Zhang, and Shiqi Zhang. "An Improved Fireworks Algorithm for the Multi-Skilled Robot Hybrid Disassembly Line Balancing Problem." In 2024 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2024. https://doi.org/10.1109/icnsc62968.2024.10760023.

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Guo, Zeyu, Xiwang Guo, Jiacun Wang, Shujin Qin, Liang Qi, and Qi Kang. "Improved Proximal Policy Optimization Algorithm for Multi-objective Disassembly Line Balancing Considering Hazardous Tasks." In 2024 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2024. https://doi.org/10.1109/icnsc62968.2024.10760016.

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Gungor, Askiner, Surendra M. Gupta, Kishore Pochampally, and Sagar V. Kamarthi. "Complications in disassembly line balancing." In Intelligent Systems and Smart Manufacturing, edited by Surendra M. Gupta. SPIE, 2001. http://dx.doi.org/10.1117/12.417274.

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Chen, Qinglian, Bitao Yao, and Duc Truong Pham. "Sequence-Dependent Robotic Disassembly Line Balancing Problem Considering Disassembly Path." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8268.

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Abstract For the realization of environmental protection and resource conservation, remanufacturing is of great significance. Disassembly is a key step in remanufacturing, the disassembly line system is the main scenario for product disassembly, usually consisting of multiple workstations, and has prolific productivity. The application of the robots in the disassembly line will eliminate various problems caused by manual disassembly. Moreover, the disassembly line balancing problem (DLBP) is of great importance for environmental remanufacturing. In the past, disassembly work was usually done m
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Liu, Bin, Wenjun Xu, Jiayi Liu, Bitao Yao, Zude Zhou, and Duc Truong Pham. "Human-Robot Collaboration for Disassembly Line Balancing Problem in Remanufacturing." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2919.

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Abstract Remanufacturing is able to reduce the environmental pollution and the manufacturing cost by recycling the end-of-life products. Disassembly is a critical step for the production process of remanufacturing. Traditional disassembly process is finished by either manual disassembly that has low efficiency or robotic disassembly that has low flexibility. Human-robot collaboration for disassembly integrates the advantages of manual disassembly and robotic disassembly, which has both high efficiency and high flexibility. For the design step of human-robot collaborative disassembly line, how
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McGovern, Seamus M., and Surendra M. Gupta. "Combinatorial optimization methods for disassembly line balancing." In Optics East, edited by Surendra M. Gupta. SPIE, 2004. http://dx.doi.org/10.1117/12.570493.

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Fang, Yilin, and Xiao Zhang. "Individual-Based Transfer Learning for Dynamic Human-Robot Collaborative Disassembly Line Balancing." In ASME 2022 17th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/msec2022-85362.

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Abstract This paper analyzed the human-robot collaborative disassembly line balancing problem, which is significantly different from the traditional disassembly line balancing problem. In a human-robot collaborative disassembly line, multiple people and robots perform disassembly tasks at each workstation. Due to the uncertainties such as product quality and human capabilities, the human-robot collaborative disassembly line balancing problem is a dynamic optimization problem. We take into account the uncertainty of product quality and personnel capabilities. In addition, dynamic optimization p
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