Flexible assembly planning for self-organizing production cells

  • In the era of Industry 4.0 and individualized mass customization, the demand for adaptable manufacturing systems is paramount. In this paper, we explore the integration of autonomic computing and self-organization in flexible manufacturing systems (FMS) to meet the dynamic needs of modern manufacturing. Our work focuses on implementing and testing self-organization within an assembly process, utilizing a production cell equipped with both industrial robots and mobile robots capable of dynamic movement and reconfiguration. A highlight of the production cell is that the processing resources self-organize into teams for executing assembly steps. Our novel approach to representing assembly plans in an FMS allows for a high degree of flexibility in executing assembly processes. Specifically, we emphasize flexibility regarding the ordering and prioritizing of assembly steps, the allocation of appropriate teams of robots to execute these steps with applicable parts, and the ability to respondIn the era of Industry 4.0 and individualized mass customization, the demand for adaptable manufacturing systems is paramount. In this paper, we explore the integration of autonomic computing and self-organization in flexible manufacturing systems (FMS) to meet the dynamic needs of modern manufacturing. Our work focuses on implementing and testing self-organization within an assembly process, utilizing a production cell equipped with both industrial robots and mobile robots capable of dynamic movement and reconfiguration. A highlight of the production cell is that the processing resources self-organize into teams for executing assembly steps. Our novel approach to representing assembly plans in an FMS allows for a high degree of flexibility in executing assembly processes. Specifically, we emphasize flexibility regarding the ordering and prioritizing of assembly steps, the allocation of appropriate teams of robots to execute these steps with applicable parts, and the ability to respond to failures in the system. We present a comprehensible modeling of flexible assembly plans, accompanied by the semantics of Petri nets, illustrated by example, and comparatively evaluated against other approaches.show moreshow less

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Metadaten
Author:Christian Lehner, Oliver KosakORCiDGND, Hella PonsarORCiDGND, Wolfgang ReifORCiDGND
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117476
ISSN:1877-0509OPAC
Parent Title (English):Procedia Computer Science
Publisher:Elsevier
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/12/12
Note:
6th International Conference on Industry 4.0 and Smart Manufacturing
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Software & Systems Engineering
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Lehrstuhl für Softwaretechnik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 67 Industrielle Fertigung / 670 Industrielle Fertigung
Latest Publications (not yet published in print):Aktuelle Publikationen (noch nicht gedruckt erschienen)
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)