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A Framework for Digital Twins for Production Network Management

Benfer, Martin; Peukert, Sina; Lanza, Gisela

Abstract:

The dynamic and highly complex task of production network management requires decision support through quantitative models. In the industrial praxis, these models are specifically designed and implemented for particular management decisions, requiring significant one-time effort for model creation. This contribution utilizes the digital twin concept to facilitate production network models that are continuously synchronized with the examined production network to support several different management decisions. The approach structures data from existing information systems as a synchronized generic base model, which is used to create problem-specific executable models, thereby saving costs through repeated model use and quicker decision making.


Verlagsausgabe §
DOI: 10.5445/IR/1000141786
Veröffentlicht am 11.01.2022
Originalveröffentlichung
DOI: 10.1016/j.procir.2021.11.213
Scopus
Zitationen: 13
Dimensions
Zitationen: 15
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000141786
Erschienen in 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0. Ed.: D. Mourtzis
Veranstaltung 54th CIRP Conference on Manufacturing Systems (CMS 2021), Online, 22.09.2021 – 24.09.2021
Verlag Elsevier
Seiten 1269-1274
Serie Procedia CIRP ; 104
Schlagwörter Digital Twin; Production Network; Modeling
Nachgewiesen in Scopus
Dimensions
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