کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1134517 | 956071 | 2008 | 19 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness](/preview/png/1134517.png)
Growing environmental concerns have motivated businesses to carefully assess the environmental impact of their products and services at all stages of a life-cycle. Reverse logistics plays an important role in achieving “green supply chains” by providing customers with the opportunity to return the warranted and/or defective products to the manufacturer. An efficient reverse logistics structure may lead to a significant return on investment as well as a significantly increased competitiveness in the market. In order to ensure efficiency, many organizations outsource their reverse logistics activities by engaging third-party logistics providers that implement reverse logistics programs designed to gain value from returned products. The selection of third-party providers is a crucial step in initializing reverse logistics related practices. This study aims to efficiently assist the decision makers in determining the “most appropriate” third-party reverse logistics provider using a two-phase model based on artificial neural networks and fuzzy logic in a holistic manner. A numerical example is also included in the study to demonstrate the steps of the proposed model.
Journal: Computers & Industrial Engineering - Volume 54, Issue 2, March 2008, Pages 269–287