Forecasting returns in reverse logistics using GERT network theory
Zhou, Li, Xie, Jiaping and Lin, Yong (2010) Forecasting returns in reverse logistics using GERT network theory. In: Responsive Manufacturing - Green Manufacturing (ICRM 2010). International Conference on Responsive Manufacturing - Green Manufacturing . IEEE Xplore Digital Library, Ningbo, pp. 349-356. (doi:10.1049/cp.2010.0456)Full text not available from this repository.
The objective of this study is to explore a new approach to the forecasting of returns. Here, “returns” refers to used products which can be sorted into resalable products, remanufacturing-able parts, renewable materials, and otherwise disposable waste. This research establishes a model by adopting the Graphical Evaluation and Review Technique (GERT) network theory combined with Bill of Material (BOM) to forecast returns. By using this model, the probability, the quantity and the expected timing of the returns can be predicted. Additionally, in line with the product BOM, the corresponding scale of reuse, i.e. remanufacturing-able parts and renewable materials, can also be forecasted. A numeric example is provided at the end of the study.
|Item Type:||Conference Proceedings|
|Title of Proceedings:||Responsive Manufacturing - Green Manufacturing (ICRM 2010)|
|Uncontrolled Keywords:||Graphical Evaluation and Review Technique (GERT), Bill of Material (BOM),|
|Subjects:||T Technology > T Technology (General)
T Technology > TS Manufactures
|School / Department / Research Groups:||School of Business
Faculty of Business > School of Business
School of Business > Department of Systems Management & Strategy
Faculty of Business > School of Business > Department of Systems Management & Strategy
|Last Modified:||24 Feb 2012 15:46|
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