Han, S., Ma, W., Zhao, L., Zhang, X., Lim, M. K. , Yang, S. and Leung, S. (2016) A robust optimisation model for hybrid remanufacturing and manufacturing systems under uncertain return quality and market demand. International Journal of Production Research, 54(17), pp. 5056-5072. (doi: 10.1080/00207543.2016.1145815)
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Abstract
In remanufacturing research, most researchers predominantly emphasised on the recovery of whole product (core) rather than at the component level due to its complexity. In contrast, this paper addresses the challenges to focus on remanufacturing through component recovery, so as to solve production planning problems of hybrid remanufacturing and manufacturing systems. To deal with the uncertainties of quality and quantity of product returns, the processing time of remanufacturing, remanufacturing costs, as well as market demands, a robust optimisation model was developed in this research and a case study was used to evaluate its effectiveness and efficiency. To strengthen this research, a sensitivity analysis of the uncertain parameters and the original equipment manufacturer’s (OEM’s) pricing strategy was also conducted. The research finding shows that the market demand volatility leads to a significant increase in the under fulfilment and a reduction in OEM’s profit. On the other hand, recovery cost reduction, as endogenous cost saving, encourages the OEM to produce more remanufactured products with the increase in market demand. Furthermore, the OEM may risk profit loss if they raise the price of new products, and inversely, they could gain more if the price of remanufactured products is raised.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was supported by the National Natural Science Foundation of China [grant number 70971112]. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lim, Professor Ming |
| Authors: | Han, S., Ma, W., Zhao, L., Zhang, X., Lim, M. K., Yang, S., and Leung, S. |
| College/School: | College of Social Sciences > Adam Smith Business School > Management |
| Journal Name: | International Journal of Production Research |
| Publisher: | Taylor & Francis |
| ISSN: | 0020-7543 |
| ISSN (Online): | 1366-588X |
| Published Online: | 15 February 2016 |
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