Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation
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 tech...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/4/533 |
| _version_ | 1797480929059405824 |
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| author | Chen-Yang Cheng Yin-Yann Chen Pourya Pourhejazy Chih-Yu Lee |
| author_facet | Chen-Yang Cheng Yin-Yann Chen Pourya Pourhejazy Chih-Yu Lee |
| author_sort | Chen-Yang Cheng |
| collection | DOAJ |
| description | 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). For this purpose, an original Integer Nonlinear Programming (INLP) model is proposed to find the optimal configuration for the disassembly lines. Given the NP-hard nature of this problem, the Adaptive Genetic Algorithm (AGA) is developed to solve the problem, minimizing the number of workstations and maximizing the relationship between the disassembly tasks. A case example from electronic waste is provided to test the practicality of the developed optimization approach. Sensitivity analysis is conducted to explore the impact of parameter changes in the optimization outcomes. Results are supportive of the applicability of the developed approach and show that it can serve as a strong decision aid tool when selecting the best disassembly process, workstations, and task assignments. |
| first_indexed | 2024-03-09T22:07:14Z |
| format | Article |
| id | doaj.art-2f37fffd3eaf4269a8775c926e476dc1 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T22:07:14Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-2f37fffd3eaf4269a8775c926e476dc12023-11-23T19:38:49ZengMDPI AGElectronics2079-92922022-02-0111453310.3390/electronics11040533Disassembly Line Balancing of Electronic Waste Considering the Degree of Task CorrelationChen-Yang Cheng0Yin-Yann Chen1Pourya Pourhejazy2Chih-Yu Lee3Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Industrial Management, National Formosa University, Huwei 63201, TaiwanDepartment of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langsgate 2, 8514 Narvik, NorwayDepartment of Industrial Management, National Formosa University, Huwei 63201, TaiwanWith 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). For this purpose, an original Integer Nonlinear Programming (INLP) model is proposed to find the optimal configuration for the disassembly lines. Given the NP-hard nature of this problem, the Adaptive Genetic Algorithm (AGA) is developed to solve the problem, minimizing the number of workstations and maximizing the relationship between the disassembly tasks. A case example from electronic waste is provided to test the practicality of the developed optimization approach. Sensitivity analysis is conducted to explore the impact of parameter changes in the optimization outcomes. Results are supportive of the applicability of the developed approach and show that it can serve as a strong decision aid tool when selecting the best disassembly process, workstations, and task assignments.https://www.mdpi.com/2079-9292/11/4/533waste managementrecyclingDisassembly Line Balancing Problemcorrelated tasksoptimization |
| spellingShingle | Chen-Yang Cheng Yin-Yann Chen Pourya Pourhejazy Chih-Yu Lee Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation Electronics waste management recycling Disassembly Line Balancing Problem correlated tasks optimization |
| title | Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation |
| title_full | Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation |
| title_fullStr | Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation |
| title_full_unstemmed | Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation |
| title_short | Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation |
| title_sort | disassembly line balancing of electronic waste considering the degree of task correlation |
| topic | waste management recycling Disassembly Line Balancing Problem correlated tasks optimization |
| url | https://www.mdpi.com/2079-9292/11/4/533 |
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