An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation
The growing emphasis on ecological preservation and natural resource conservation has significantly advanced resource recycling, facilitating the realization of a sustainable green economy. Essential to resource recycling is the pivotal stage of disassembly, wherein the efficacy of disassembly tools...
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| Format: | Article |
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MDPI AG
2024-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/12/6/836 |
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| author | Shujin Qin Xinkai Xie Jiacun Wang Xiwang Guo Liang Qi Weibiao Cai Ying Tang Qurra Tul Ann Talukder |
| author_facet | Shujin Qin Xinkai Xie Jiacun Wang Xiwang Guo Liang Qi Weibiao Cai Ying Tang Qurra Tul Ann Talukder |
| author_sort | Shujin Qin |
| collection | DOAJ |
| description | The growing emphasis on ecological preservation and natural resource conservation has significantly advanced resource recycling, facilitating the realization of a sustainable green economy. Essential to resource recycling is the pivotal stage of disassembly, wherein the efficacy of disassembly tools plays a critical role. This work investigates the impact of disassembly tools on disassembly duration and formulates a mathematical model aimed at minimizing workstation cycle time. To solve this model, we employ an optimized advantage actor-critic algorithm within reinforcement learning. Furthermore, it utilizes the CPLEX solver to validate the model’s accuracy. The experimental results obtained from CPLEX not only confirm the algorithm’s viability but also enable a comparative analysis against both the original advantage actor-critic algorithm and the actor-critic algorithm. This comparative work verifies the superiority of the proposed algorithm. |
| first_indexed | 2024-04-24T18:03:00Z |
| format | Article |
| id | doaj.art-c0b005159fc9480c9bd927709c6d8fc2 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-04-24T18:03:00Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-c0b005159fc9480c9bd927709c6d8fc22024-03-27T13:53:03ZengMDPI AGMathematics2227-73902024-03-0112683610.3390/math12060836An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool DegradationShujin Qin0Xinkai Xie1Jiacun Wang2Xiwang Guo3Liang Qi4Weibiao Cai5Ying Tang6Qurra Tul Ann Talukder7College of Economics and Management, Shangqiu Normal University, Shangqiu 476000, ChinaCollege of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, ChinaDepartment of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USACollege of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, ChinaDepartment of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, ChinaCollege of Electrical and Computer Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaDepartment of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, ChinaThe growing emphasis on ecological preservation and natural resource conservation has significantly advanced resource recycling, facilitating the realization of a sustainable green economy. Essential to resource recycling is the pivotal stage of disassembly, wherein the efficacy of disassembly tools plays a critical role. This work investigates the impact of disassembly tools on disassembly duration and formulates a mathematical model aimed at minimizing workstation cycle time. To solve this model, we employ an optimized advantage actor-critic algorithm within reinforcement learning. Furthermore, it utilizes the CPLEX solver to validate the model’s accuracy. The experimental results obtained from CPLEX not only confirm the algorithm’s viability but also enable a comparative analysis against both the original advantage actor-critic algorithm and the actor-critic algorithm. This comparative work verifies the superiority of the proposed algorithm.https://www.mdpi.com/2227-7390/12/6/836disassembly line balancingtool deteriorationreinforcement learningadvantage actor-critic algorithm |
| spellingShingle | Shujin Qin Xinkai Xie Jiacun Wang Xiwang Guo Liang Qi Weibiao Cai Ying Tang Qurra Tul Ann Talukder An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation Mathematics disassembly line balancing tool deterioration reinforcement learning advantage actor-critic algorithm |
| title | An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation |
| title_full | An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation |
| title_fullStr | An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation |
| title_full_unstemmed | An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation |
| title_short | An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation |
| title_sort | optimized advantage actor critic algorithm for disassembly line balancing problem considering disassembly tool degradation |
| topic | disassembly line balancing tool deterioration reinforcement learning advantage actor-critic algorithm |
| url | https://www.mdpi.com/2227-7390/12/6/836 |
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