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Applying Multi-Objective Optimisation to Dynamic Supply Chain Models
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0002-0382-1387
2010 (English)In: Conradi Research Review, ISSN 1459-0980, Vol. 6, no 2, 19-31 p.Article in journal (Refereed) Published
Abstract [en]

Supply chains are complex industrial systems with several actors that strive towards different purposes. These systems are particularly sensitive to dynamic complexity and are popularly approached using system dynamics simulation. A common problem with system dynamics simulation is the inability to see directly how well a model with several objectives performs. This article suggests multi-objective optimisation as a means of analyzing dynamic supply chain models to (1) find Pareto-optimal parameter sets and (2) allow for comparison of different models by comparing Pareto fronts. Apart from discussing the application of multiobjective optimisation to dynamic supply chain problems, a supply chain model is optimized to give some insight about the benefits of using multi-objective optimisation for supply chain problems.

Place, publisher, year, edition, pages
Vaasa University of Applied Science , 2010. Vol. 6, no 2, 19-31 p.
Keyword [en]
System dynamics, supply chain management, multi-objective optimisation, APIOBPCS
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5656OAI: oai:DiVA.org:his-5656DiVA: diva2:512429
Available from: 2012-03-27 Created: 2012-03-27 Last updated: 2015-12-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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