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Decision-Support for Additive Repair Processes with a Multi-agent System

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autorschaft

  • Stefan Plappert
  • Nicola Viktoria Ganter
  • Thimo von Hören
  • Paul Christoph Gembarski
  • Roland Lachmayer

Details

OriginalspracheEnglisch
Titel des SammelwerksApplied Systemic Studies
Herausgeber/-innenHenry Selvaraj, Takayuki Fujimoto
ErscheinungsortCham
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten3-11
Seitenumfang9
ISBN (elektronisch)978-3-031-27470-1
ISBN (Print)9783031274695
PublikationsstatusVeröffentlicht - 22 März 2023
Veranstaltung29th International Conference on Systems Engineering, ICSEng 2022 - Tokyo, Japan
Dauer: 23 Aug. 202225 Aug. 2022

Publikationsreihe

NameLecture Notes in Networks and Systems
Band611 LNNS
ISSN (Print)2367-3370
ISSN (elektronisch)2367-3389

Abstract

The repair of defective metal parts using additive manufacturing processes (additive repair) instead of disposal offers the potential to manufacture parts more cost-effectively, faster, and in a way that preserves resources. One hurdle to a broader application of additive repair is that users without expertise in additive repair lack adequate guidance on the technical feasibility of additive repair. Moreover, as the specific domain knowledge for the different repair processes is decentralized by different experts and negotiation between them has to be performed for the selection of the appropriate process, this paper investigates the application of a multi-agent system (MAS) using a deep-drawing die.

ASJC Scopus Sachgebiete

Zitieren

Decision-Support for Additive Repair Processes with a Multi-agent System. / Plappert, Stefan; Ganter, Nicola Viktoria; von Hören, Thimo et al.
Applied Systemic Studies. Hrsg. / Henry Selvaraj; Takayuki Fujimoto. Cham: Springer Science and Business Media Deutschland GmbH, 2023. S. 3-11 (Lecture Notes in Networks and Systems; Band 611 LNNS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Plappert, S, Ganter, NV, von Hören, T, Gembarski, PC & Lachmayer, R 2023, Decision-Support for Additive Repair Processes with a Multi-agent System. in H Selvaraj & T Fujimoto (Hrsg.), Applied Systemic Studies. Lecture Notes in Networks and Systems, Bd. 611 LNNS, Springer Science and Business Media Deutschland GmbH, Cham, S. 3-11, 29th International Conference on Systems Engineering, ICSEng 2022, Tokyo, Japan, 23 Aug. 2022. https://doi.org/10.1007/978-3-031-27470-1_1
Plappert, S., Ganter, N. V., von Hören, T., Gembarski, P. C., & Lachmayer, R. (2023). Decision-Support for Additive Repair Processes with a Multi-agent System. In H. Selvaraj, & T. Fujimoto (Hrsg.), Applied Systemic Studies (S. 3-11). (Lecture Notes in Networks and Systems; Band 611 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-27470-1_1
Plappert S, Ganter NV, von Hören T, Gembarski PC, Lachmayer R. Decision-Support for Additive Repair Processes with a Multi-agent System. in Selvaraj H, Fujimoto T, Hrsg., Applied Systemic Studies. Cham: Springer Science and Business Media Deutschland GmbH. 2023. S. 3-11. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-27470-1_1
Plappert, Stefan ; Ganter, Nicola Viktoria ; von Hören, Thimo et al. / Decision-Support for Additive Repair Processes with a Multi-agent System. Applied Systemic Studies. Hrsg. / Henry Selvaraj ; Takayuki Fujimoto. Cham : Springer Science and Business Media Deutschland GmbH, 2023. S. 3-11 (Lecture Notes in Networks and Systems).
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abstract = "The repair of defective metal parts using additive manufacturing processes (additive repair) instead of disposal offers the potential to manufacture parts more cost-effectively, faster, and in a way that preserves resources. One hurdle to a broader application of additive repair is that users without expertise in additive repair lack adequate guidance on the technical feasibility of additive repair. Moreover, as the specific domain knowledge for the different repair processes is decentralized by different experts and negotiation between them has to be performed for the selection of the appropriate process, this paper investigates the application of a multi-agent system (MAS) using a deep-drawing die.",
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