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Heuristic Search Based Design of Hybrid, Collaborative Assembly Systems

: Fechter, Manuel; Keller, Robert; Chen, Shengjian; Seeber, Carsten

Postprint urn:nbn:de:0011-n-5318289 (915 KByte PDF)
MD5 Fingerprint: 70a3dae9c0d9a9a02190b5d9d1f01640
Erstellt am: 16.01.2020

Schmitt, Robert ; Wissenschaftliche Gesellschaft für Produktionstechnik -WGP-:
Advances in Production Research : Proceedings of the 8th Congress of the German Academic Association for Production Technology (WGP), Aachen, November 19-20, 2018
Cham: Springer Nature, 2019
ISBN: 978-3-030-03450-4 (Print)
ISBN: 978-3-030-03451-1 (Online)
ISBN: 978-3-030-03452-8
German Academic Association for Production Technology (WGP Congress) <8, 2018, Aachen>
Wissenschaftliche Gesellschaft für Produktionstechnik (WGP Congress) <8, 2018, Aachen>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
hybrides Montagesystem; Roboter

This paper presents a heuristic approach for optimized design of hybrid workplaces for collaborative workload sharing and resource allocation in reconfigurable, hybrid assembly systems. The design and resource allocation pattern is derived from product and process data stored in AutomationML and based on requirement – capability matching. The approach intends to support the design engineers’ work during the first draft of a hybrid workplace design and focuses on fast generation of optimized solutions. To receive valid designs in a limited amount of time, the implementation is based on heuristic search.