2022
DOI: 10.1016/j.cirpj.2022.07.010
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Dynamic Bayesian network-based disassembly sequencing optimization for electric vehicle battery

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Cited by 30 publications
(11 citation statements)
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References 33 publications
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“…Linear programming methods [23], [77], [79], [97], particularly mixed integer linear programming (MILP) [29], [66], [84], [90], [98], are widely used to solve constrained optimization problem. Other optimization methods are also adopted for obtaining the optimal disassembly sequence, such as stochastic mixed-integer nonlinear programming [99], Tabu search [47], [100], rule-based methods [51], Qlearning [101], multi-agent reinforcement learning [102], and teaching-learning-based optimization (TLBO) [103]. The optimization methods and corresponding references are listed in Table VI.…”
Section: Modeling Methodsmentioning
confidence: 99%
“…Linear programming methods [23], [77], [79], [97], particularly mixed integer linear programming (MILP) [29], [66], [84], [90], [98], are widely used to solve constrained optimization problem. Other optimization methods are also adopted for obtaining the optimal disassembly sequence, such as stochastic mixed-integer nonlinear programming [99], Tabu search [47], [100], rule-based methods [51], Qlearning [101], multi-agent reinforcement learning [102], and teaching-learning-based optimization (TLBO) [103]. The optimization methods and corresponding references are listed in Table VI.…”
Section: Modeling Methodsmentioning
confidence: 99%
“…However, it is associated with safety and environmental issues, including the danger of electrocution from high voltage, groundwater contamination from the disposal of residual electrolyte, and air pollution from the incineration of the diaphragm. 14 To enable the faster disassembly of battery packs, identification and detection of the remaining energy in the cells in the packs, and efficient recovery of materials from the batteries, it is necessary to use artificial intelligence, 15 Internet of Things and big data algorithms 16 to transform manual disassembly and mechanized disassembly to automated and intelligent disassembly methods. Battery pack data collection systems, multi-robot collaborative disassembly top cover screw systems, top cover handling systems, module handling systems, intelligent sorting systems for disassembly products, and module/cell milling systems are all included in a complete set of intelligent disassembly systems.…”
Section: Reviewmentioning
confidence: 99%
“…Das Projekt AgiProbot bescha ¨ftigt sich mit dem Anwendungsfall des Remanufacturings, wobei ein agiles Produktionssystem unter Verwendung ku ¨nstlicher Intelligenz entwickelt wurde, um auf ungewisse Produktzusta ¨nde reagieren zu ko ¨nnen In der aktuellen Literatur zur automatisierten Demontage finden sich vorrangig Arbeiten, die die Demontage von Traktionsbatterien aus Elektrofahrzeugen zum Ziel haben [16][17][18][19]. Verwandte Thematiken auf dem Gebiet der automatisierten Demontage bescha ¨ftigen sich mit der Sequenzplanung und deren Optimierung [19,20] sowie der Mensch-Maschine-Interaktion [18,20]. Hinsichtlich konkreter Anwendungsfa ¨lle wird auch der Fokus auf die Schraubendetektion und -demontage gelegt [17,21].…”
Section: Hintergrund Und Problemstellungunclassified
“…In der aktuellen Literatur zur automatisierten Demontage finden sich vorrangig Arbeiten, die die Demontage von Traktionsbatterien aus Elektrofahrzeugen zum Ziel haben 16–19. Verwandte Thematiken auf dem Gebiet der automatisierten Demontage beschäftigen sich mit der Sequenzplanung und deren Optimierung 19, 20 sowie der Mensch‐Maschine‐Interaktion 18, 20. Hinsichtlich konkreter Anwendungsfälle wird auch der Fokus auf die Schraubendetektion und ‐demontage gelegt 17, 21.…”
Section: Hintergrund Und Problemstellungunclassified