Performance Evaluation In Reverse Logistics With Data Envelopment Analysis

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Title: Performance Evaluation In Reverse Logistics With Data Envelopment Analysis
Author: Tonanont, Ake
Abstract: Good reverse logistics design can save cost , increase revenues , and gain competitive edges over the rivals . Design of the optimized reverse supply chain model is a very important task to help enterprises save cost and gain benefits from their supply chains . In this study , reverse logistics is considered as a part of the Closed Loop Supply Chain (CLSC ) . CLSC combines forward and reverse flow together in the supply chain . Each component in a forward and reverse supply chain results in the efficiency of CLSC . Therefore , considering forward and reverse supply chain together as a CLSC will result in more benefits in improving efficiency of the supply chain than considering it separately . Since most data in the reverse supply chain are very difficult to obtain and many companies do not want to provide their reverse supply chain data due to business reasons , the data is secretly kept . Due to these reasons , there is a need to create a simulation model of CLSC to get reasonable data that can be used in this study .This research proposes a methodology to design a good reverse supply chain by using the specified parameters . The statistical experiments with Data Envelopment Analysis (DEA ) were applied to obtain an optimized model . This model is used to evaluate efficiency of the reverse logistics model and also provides the opportunity to improve efficiency by varying the significant parameters . Two case studies of carpet recycling were provided as the examples to show how to apply this methodology .
URI: http : / /hdl .handle .net /10106 /1904
Date: 2009-09-16


Performance Evaluation In Reverse Logistics With Data Envelopment Analysis. Available electronically from http : / /hdl .handle .net /10106 /1904 .

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