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Efficient performance measurement on reverse supply chain (RSC) is the basis of optimizing RSC. In view of the shortage and deficiency on performance measurement of RSC, in this paper, an integral performance measurement index system is designed based on balance score card (BSC) and RSC structure characteristics, including a set of finance, customer, internal business process, learning and developing...
In supply chain system, site selection of nodes is one of important decision issues. To encompass uncertainty and vagueness of messages, we utilize a fuzzy multi-criteria decision-making(FMCDM) method called fuzzy TOPSIS to solve the site selection problem under fuzzy environment. By fuzzy TOPSIS, alternatives' extreme solutions are found, and the distances between alternatives and extreme solutions...
Because the risk factors cannot be accurately measured it is very difficult to evaluate the risk of supply chain. By introducing hesitancy degree into the risk evaluation process, an intuitionistic fuzzy model is developed to describe the problem. With this model, an algorithm is proposed to evaluate the risk of supply chain. Example shows that the proposed method is superior to the existing ones...
As reverse logistics (RL) operations are significantly more complex than traditional manufacturing supply chains, many high-tech manufacturers are examining the feasibility of outsourcing reverse logistics activities to third party logistics providers (3PLs) from a strategic planning perspective. Therefore, this work develops a systematic decision making approach for practitioners of reverse logistics...
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