A review of soft computing applications in supply chain management

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dc.contributor.authorKo, Mark
dc.contributor.authorTiwari, Ashutosh
dc.contributor.authorMehnen, Jorn
dc.date.accessioned2010-03-25T14:10:20Z
dc.date.available2010-03-25T14:10:20Z
dc.date.issued2010-06
dc.description.abstractIt is broadly recognised by global companies that supply chain management is one of the major core competencies for an organisation to compete in the marketplace. Organisational strategies are mainly concentrated on improvement of customer service levels as well as reduction of operational costs in order to maintain profit margins. Therefore supply chain performance has attracted researchers’ attention. A variety of soft computing techniques including fuzzy logic and genetic algorithms have been employed to improve effectiveness and efficiency in various aspects of supply chain management. Meanwhile, an increasing number of papers have been published to address related issues. The aim of this paper is to summarise the findings by a systematic review of existing research papers concerning the application of soft computing techniques to supply chain management. Some areas in supply chain management that have rarely been exposed in existing papers, such as customer relationship management and reverse logistics, are therefore suggested for future research.en_UK
dc.identifier.citationMark Ko, Ashutosh Tiwari, Jorn Mehnen, A review of soft computing applications in supply chain management, Applied Soft Computing, Volume 10, Issue 3, June 2010, Pages 661-674en_UK
dc.identifier.issn1568-4946
dc.identifier.urihttp://dx.doi.org/10.1016/j.asoc.2009.09.004
dc.identifier.urihttp://hdl.handle.net/1826/4319
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.subjectSoft computingen_UK
dc.subjectLogisticsen_UK
dc.subjectSupply chain managementen_UK
dc.titleA review of soft computing applications in supply chain managementen_UK
dc.typeArticleen_UK

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