Parlikad, AK and McFarlane, D (2009) Strategies for product recovery decisions. International Journal of Product Lifecycle Management, 4. pp. 186-206. ISSN 1743-5110Full text not available from this repository.
Product recovery is beset by uncertainty regarding the quality of end-of-life (EOL) products, and in order to ascertain the reusability of these products, they have to undergo expensive tests. This undermines the profitability of the recovery process. The key to improve the effectiveness of product recovery is to improve the quality of information available before testing. Emerging data capture technologies can significantly improve the availability of information. However, in order to maximise the potential of these technologies, appropriate decision-making algorithms that exploit such information must be developed. We model the recovery process using a decision-theoretic approach, and derive strategies to ascertain the reusability of EOL products, and also to decide when tests are beneficial. We show that improving the quality of information leads to increase in effectiveness of the recovery process by reducing the need for tests. Copyright © 2009 Inderscience Enterprises Ltd.
|Uncontrolled Keywords:||Applied probability Decision analysis Product recovery Uncertainty modelling|
|Depositing User:||Cron job|
|Date Deposited:||04 Feb 2015 22:35|
|Last Modified:||18 Jun 2015 11:07|