Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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 | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 14-08-2021 | 1.56 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.