Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/19032
Title: | Predicting Customer Demand for Remanufactured Products: A Data-Mining Approach |
Authors: | Van Nguyen, T Zhou, L Chong, AYL Li, B Pu, X |
Keywords: | Data mining;Remanufactured products;Machine learning;Regression trees |
Issue Date: | 14-Aug-2019 |
Publisher: | Elsevier BV |
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 |
URI: | http://bura.brunel.ac.uk/handle/2438/19032 |
DOI: | https://doi.org/10.1016/j.ejor.2019.08.015 |
ISSN: | 0377-2217 |
Appears in Collections: | Brunel Business School Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Embargoed until 14-08-2021 | 1.56 MB | Adobe PDF | View/Open |
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