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Selective disassembly planning considering process capability and component quality utilizing reinforcement learning

Tabar, Roham Sadeghi; Magnanini, Maria Chiara; Stamer, Florian ORCID iD icon 1; May, Marvin Carl ORCID iD icon 1; Lanza, Gisela 1; Wärmefjord, Kristina; Söderberg, Rikard
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)

Abstract:

Disassembly is a crucial process for achieving circular products, enabling function recovery, material reuse, and recycling. Disassembly planning is complex due to epistemic uncertainty associated with each unique product's conditions, i.e., quality and aleatoric uncertainty about the capabilities of available resources and processes, and the cost benefits of associated operations impede planning. Therefore, the disassembly is intended to result in keeping the maximum value for the disassembled units of the product. In selective disassembly, the specification of the units of the product to be disassembled is acquired, leaving the rest of the product intact. The benefit of selective disassembly is to minimize waste during dismantling and maximize the reuse of the disassembled components for economic and ecological sustainability. The challenges in disassembly sequence planning include product complexity, operational and technological process capabilities, and the lack of information regarding the product architecture. For this complex planning task, limited studies have been performed on incorporating process capabilities with respect to the operations resources for selective disassembly planning. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000169030
Veröffentlicht am 05.03.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000169030
Erschienen in Procedia CIRP
Verlag Elsevier
Band 121
Seiten 1 – 6
Bemerkung zur Veröffentlichung Part of special issue: 11th CIRP Global Web Conference (CIRPe 2023)
Vorab online veröffentlicht am 01.02.2024
Schlagwörter Remanufacturing, Selective Disassembly, Planning, Reinforcement Learning
Nachgewiesen in Dimensions
Scopus
Globale Ziele für nachhaltige Entwicklung Ziel 9 – Industrie, Innovation und InfrastrukturZiel 12 – Nachhaltiger Konsum und Produktion
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