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Product allocation and network configuration in global production networks – An integrated optimization approach

Klenk, Felix ORCID iD icon 1; Kerndl, Felix 1; Heidinger, Felix 1; Benfer, Martin 1; Peukert, Sina 1; Lanza, Gisela 1
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)


Driven by an increasing demand for individualized products and shorter product life-cycles, companies continuously extend their product portfolio. Simultaneously, companies expand into new markets to reach customers and to exploit varying location factors to reduce costs. Global production networks (GPNs) have to be adapted constantly to react to new circumstances and changes in the demand of products. To remain competitive, product allocation and production network configuration are essential. At the same time, companies face an increasing complexity while handling these tasks. This poses a challenge particularly for small and medium sized companies, which have limited planning capacities and management resources. Current literature describes optimization-based approaches for the integrated product allocation and network configuration of production networks. Yet, multi-objective models lack transparency of results and user friendliness. Therefore, this paper presents a multi-objective optimization model that incorporates flexibility and reconfiguration aspects to determine an optimal product allocation and network configuration of a GPN over a given planning horizon. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000149806
Veröffentlicht am 15.08.2022
DOI: 10.1007/s11740-022-01149-4
Zitationen: 1
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 0944-6524, 1863-7353
KITopen-ID: 1000149806
Erschienen in Production Engineering
Verlag Wissenschaftliche Gesellschaft für Produktionstechnik e.V. (WGP)
Band 17
Heft 1
Seiten 117–132
Vorab online veröffentlicht am 30.07.2022
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