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dc.contributor.authorJeeva, Ananda
dc.contributor.authorGuo, W.
dc.contributor.editorZhigang Zeng
dc.contributor.editorJun Wang
dc.date.accessioned2017-01-30T15:13:48Z
dc.date.available2017-01-30T15:13:48Z
dc.date.created2010-06-30T20:02:29Z
dc.date.issued2010
dc.identifier.citationJeeva, Ananda and Guo, William. 2010. Supply chain flexibility assessment by multivariate regression and neural networks, in Zhigang Zeng and Jun Wang (ed), Seventh international symposium on neural networks, Jun 6 2010, pp. 845-852. Shanghai, China: Springer-Verlag.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/44399
dc.identifier.doi10.1007/978-3-642-12990-2
dc.description.abstract

This paper compares two vastly different methods of analysis - multiple regression and neural networks, in supply chain flexibility assessment. Data of manufacturing firms evaluating their prominent suppliers were analysed by multiple regression and simulated using three-layer multilayer perceptron (MLP) neural networks. Our study shows that NN can accurately determine a supplier?s flexibility capability within an error of 1% The incorporation of these two methods can lead to better understanding and dynamic prediction of supply chain flexibility for buyers.

dc.publisherSpringer-Verlag
dc.subjectsupply chain
dc.subjectmultivariate regression
dc.subjectflexibility
dc.subjectNeural network
dc.titleSupply chain flexibility assessment by multivariate regression and neural networks
dc.typeConference Paper
dcterms.source.startPage845
dcterms.source.endPage852
dcterms.source.titleSupply chain flexibility assessment by multivariate regression and neural networks
dcterms.source.seriesSupply chain flexibility assessment by multivariate regression and neural networks
dcterms.source.isbn9783642129902
dcterms.source.conferenceSeventh international symposium on neural networks
dcterms.source.conference-start-dateJun 6 2010
dcterms.source.conferencelocationShanghai, China
dcterms.source.placeBerlin Heidelberg
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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