KIT | KIT-Bibliothek | Impressum | Datenschutz

Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning

Wurster, Marco; Michel, Marius; May, Marvin Carl ORCID iD icon; Kuhnle, Andreas; Stricker, Nicole; Lanza, Gisela

Abstract:

Remanufacturing includes disassembly and reassembly of used products to save natural resources and reduce emissions. While assembly is widely understood in the field of operations management, disassembly is a rather new problem in production planning and control. The latter faces the challenge of high uncertainty of type, quantity and quality conditions of returned products, leading to high volatility in remanufacturing production systems. Traditionally, disassembly is a manual labor-intensive production step that, thanks to advances in robotics and artificial intelligence, starts to be automated with autonomous workstations. Due to the diverging material flow, the application of production systems with loosely linked stations is particularly suitable and, owing to the risk of condition induced operational failures, the rise of hybrid disassembly systems that combine manual and autonomous workstations can be expected. In contrast to traditional workstations, autonomous workstations can expand their capabilities but suffer from unknown failure rates. For such adverse conditions a condition-based control for hybrid disassembly systems, based on reinforcement learning, alongside a comprehensive modeling approach is presented in this work. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000142406
Veröffentlicht am 28.01.2022
Originalveröffentlichung
DOI: 10.1007/s10845-021-01863-3
Scopus
Zitationen: 15
Web of Science
Zitationen: 10
Dimensions
Zitationen: 18
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 0956-5515, 1572-8145
KITopen-ID: 1000142406
Erschienen in Journal of Intelligent Manufacturing
Verlag Springer
Band 33
Heft 2
Seiten 575-591
Nachgewiesen in Web of Science
Scopus
Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page