Abstract
Today green supply chain is considered all around the world and supplier selection has been changed regarding these green and carbon emission criteria, so green supplier selection has been a major problem in this area. In this study we use fuzzy time function to assist managers in green supplier selection under uncertainty and ambiguity. This function will consider derivation from the goal during the time and by using it, and we will be able to have the best supplier in every period after having some modification in legal limitations for green supplier selection criteria. We use a fuzzy TOPSIS to have better initial weighting in TODIM, a discrete multicriteria method based on prospect theory in uncertainty (known as TODIM in Portuguese) decision making method. The results indicated that our proposed approach can easily and effectively accommodate criteria with gains and loss functions during time and also by using this method we will have a more reasonable predict of our suppliers ranking in future and that will help us in future investment in these suppliers. Finally it has been shown in car industries in Iran.
Highlights
In recent years, the European Union (EU) has established various environmental policies, including the RoHS (Restricted Use of Hazardous Substances in Electronics and Electrical Equipment) as well as WEEE (Waste Electronics and Electrical Equipment) directives
With green supply chain management (GSCM), firms can select from a wide variety of suppliers and leverage resources throughout the firm to eliminate the environmental impact of supply chain activities, Tseng [1]
We will continue this paper by literature review on fuzzy time function and fuzzy TOPSIS and TODIM in Section 2 and have some necessary explanations about the above techniques in Section 3; we show our proposed method in this paper by using an illustrative example for green supplier selection
Summary
The European Union (EU) has established various environmental policies, including the RoHS (Restricted Use of Hazardous Substances in Electronics and Electrical Equipment) as well as WEEE (Waste Electronics and Electrical Equipment) directives. A firm’s suppliers must satisfy green criteria under the constrains of subjective human preferences, which include uncertainty, in addition to uncertainties of time and planning for future; in this study we consider time in all decision making processes and this will be more effective in combination with fuzzy number for linguistic terms. The objective of this study is to create a mechanism that could assist managers in analyzing and selecting green suppliers during time horizons and this will help us to predict a picture for future of the organization activities; for these targets we use a hybrid fuzzy TOPSIS-TODIM decision making process considering fuzzy time function. A fuzzy time function consists of three sections, optimistic, normal, and pessimistic related to time and these lines do not cross each other’s (Figure 1) This function in each time represents a fuzzy triangular number (3), which considers all three possibilities. Considering the above descriptions we will have FTF for every criterion as
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