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Robust optimization of information flows in global production networks using multi-method simulation and surrogate modelling

Treber, Stefan 1; Benfer, Martin 1; Häfner, Benjamin 1; Wang, Lihui; Lanza, Gisela 1
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)

Abstract:
Low information exchange in global production networks results in long response time to disruption and negative performance impact. Digitalization enables a more intensive information exchange. This paper analyses the performance of order management, quality problem resolution and engineering change management in production networks with respect to different disruptions and information flows. Causeeffect relationships are revealed based on a multi-method simulation model and statistical experiments. Using surrogate modelling and robust optimization, a target picture for information exchange is determined. The benefits of the approach are demonstrated using a case study for the production of metal-plastic parts for the automotive supplier industry.


Originalveröffentlichung
DOI: 10.1016/j.cirpj.2020.08.012
Scopus
Zitationen: 3
Web of Science
Zitationen: 2
Dimensions
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2021
Sprache Englisch
Identifikator ISSN: 1755-5817
KITopen-ID: 1000134663
Erschienen in CIRP journal of manufacturing science and technology
Verlag Elsevier
Band 32
Seiten 491–506
Nachgewiesen in Web of Science
Scopus
Dimensions
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