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Evaluating the impact of changes on a global supply chain using an iterative approach in a proof-of-concept model
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Volvo Car Corporation, Sweden. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0003-1215-152x
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0002-0880-2572
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Produktion och automatiseringsteknik, Production and Automation Engineering)
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0003-0111-1776
2018 (engelsk)Inngår i: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, s. 467-472Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Analyzing networks of supply-chains, where each chain is comprised of several actors with different purposes and performance measures, is a difficult task. There exists a large potential in optimizing supply-chains for many companies and therefore the supply-chain optimization problem is of great interest to study. To be able to optimize the supply-chain on a global scale, fast models are needed to reduce computational time. Previous research has been made into the aggregation of factories, but the technique has not been tested against supply-chain problems. When evaluating the configuration of factories and their inter-transportation on a global scale, new insights can be gained about which parameters are important and how the aggregation fits to a supply-chain problem. The paper presents an interactive proof-of-concept model enabling testing of supply chain concepts by users and decision makers.

sted, utgiver, år, opplag, sider
Amsterdam: IOS Press, 2018. s. 467-472
Serie
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Emneord [en]
Aggregated modeling, Discrete Event Simulation, Manufacturing, Proof-of-concept, Supply-chain management, Decision making, Iterative methods, Manufacture, Supply chain management, Computational time, Global supply chain, Interactive proofs, Iterative approach, Performance measure, Proof of concept, Supply chain optimization, Industrial research
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik; INF203 Virtual Machining
Identifikatorer
URN: urn:nbn:se:his:diva-16496DOI: 10.3233/978-1-61499-902-7-467ISI: 000462212700075Scopus ID: 2-s2.0-85057354809ISBN: 978-1-61499-901-0 (tryckt)ISBN: 978-1-61499-902-7 (digital)OAI: oai:DiVA.org:his-16496DiVA, id: diva2:1270535
Konferanse
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2018-12-13 Laget: 2018-12-13 Sist oppdatert: 2019-04-08bibliografisk kontrollert

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