Predicting Customer Demand for Remanufactured Products: A Data-Mining Approach

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19032

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DC Field	Value	Language
dc.contributor.author	Van Nguyen, T	-
dc.contributor.author	Zhou, L	-
dc.contributor.author	Chong, AYL	-
dc.contributor.author	Li, B	-
dc.contributor.author	Pu, X	-
dc.date.accessioned	2019-08-30T08:32:47Z	-
dc.date.available	2019-08	-
dc.date.available	2019-08-30T08:32:47Z	-
dc.date.issued	2019-08-14	-
dc.identifier.citation	Van Nguyen, T., Zhou, L., Chong, A.Y.L., Li, B. and Pu, X. (2020). Predicting customer demand for remanufactured products: A data-mining approach. European Journal of Operational Research, 281(3), pp.543–558. doi: 10.1016/j.ejor.2019.08.015	en_US
dc.identifier.issn	0377-2217	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/19032	-
dc.language	en	-
dc.language.iso	en	en_US
dc.publisher	Elsevier BV	en_US
dc.subject	Data mining	en_US
dc.subject	Remanufactured products	en_US
dc.subject	Machine learning	en_US
dc.subject	Regression trees	en_US
dc.title	Predicting Customer Demand for Remanufactured Products: A Data-Mining Approach	en_US
dc.type	Article	en_US
dc.identifier.doi	https://doi.org/10.1016/j.ejor.2019.08.015	-
dc.relation.isPartOf	European Journal of Operational Research	-
pubs.publication-status	Published	-
Appears in Collections:	Brunel Business School Embargoed Research Papers

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