| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 495839 | Applied Soft Computing | 2012 | 10 Pages |
In these days, considering the growth of knowledge about sustainability in enterprise, the sustainable supplier selection would be the central component in the management of a sustainable supply chain. In this paper the sustainable supplier selection criteria and sub-criteria are determined and based on those criteria and sub-criteria a methodology is proposed onto evaluation and ranking of a given set of suppliers. In the evaluation process, decision makers’ opinions on the importance of deciding the criteria and sub-criteria, in addition to their preference of the suppliers’ performance with respect to sub-criteria are considered in linguistic terms. To handle the subjectivity of decision makers’ assessments, fuzzy logic has been applied and a new ranking method on the basis of fuzzy inference system (FIS) is proposed for supplier selection problem. Finally, an illustrative example is utilized to show the feasibility of the proposed method.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlight► Focusing on the limitations of Ordoobadi's work which suggested a mathematical algorithm by applying fuzzy membership functions to rank the suppliers [15] and to propose a new ranking model based on FIS to overcome the limitations. ► Considering the importance weights of sub-criteria and also criteria and to allocate these weights in the new ranking method of FIS for supplier selection problem. ► Focusing on sustainability issue in supplier selection problem and applying a modular FIS system approach to solve it.
