Conclusion
This paper proposes a multiple criteria decision model in fuzzy environment for vendor selection problem. This is considered as one of the critical decision making process for effective operation of supply chain. The crisp approach of vendor rating schemes and allied techniques result in unreasonable selection that affects the performance of enterprise in the long run. Therefore, a fuzzy approach capable of capturing vagueness associated with subjective perception of decision make has been proposed. Further, biasness in decision making process has been avoided using weightages for decision makers based on their proficiency in the problem under consideration. In real practice, the decision makers are hardly equally important as they usually come from varied background. A novel technique of determining weightages for decision makers has been proposed. The procedure uses ranking of a decision maker by other decision makers; hence conflict resolution becomes quite easy. The weightages of decision makers have been integrated with the general frame work of fuzzy hierarchical multi criteria decision making process. The complete process has been elicited with the help of real life case study. The case study problem deals with selection or ranking of four suppliers by three decision makers based on four criteria. The method uses the concept of fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) for solving the problem. The suppliers are ranked on the basis of value of closeness coefficient which is calculated for each supplier. According to the closeness coefficient, the ranking order of four alternatives has been determined as S2 > S4 > S3 >S1. So, supplier ‘S2’ can be chosen for the case study problem. In fact, supplier ‘S2’ is one of the leading manufacturers of general equipment and accessories treated as fast moving items in steel companies. Although the study concentrates on steel industry, the methodology is quite general and be adopted in any industry if the criteria and alternatives are clearly defined.
บทสรุปThis paper proposes a multiple criteria decision model in fuzzy environment for vendor selection problem. This is considered as one of the critical decision making process for effective operation of supply chain. The crisp approach of vendor rating schemes and allied techniques result in unreasonable selection that affects the performance of enterprise in the long run. Therefore, a fuzzy approach capable of capturing vagueness associated with subjective perception of decision make has been proposed. Further, biasness in decision making process has been avoided using weightages for decision makers based on their proficiency in the problem under consideration. In real practice, the decision makers are hardly equally important as they usually come from varied background. A novel technique of determining weightages for decision makers has been proposed. The procedure uses ranking of a decision maker by other decision makers; hence conflict resolution becomes quite easy. The weightages of decision makers have been integrated with the general frame work of fuzzy hierarchical multi criteria decision making process. The complete process has been elicited with the help of real life case study. The case study problem deals with selection or ranking of four suppliers by three decision makers based on four criteria. The method uses the concept of fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) for solving the problem. The suppliers are ranked on the basis of value of closeness coefficient which is calculated for each supplier. According to the closeness coefficient, the ranking order of four alternatives has been determined as S2 > S4 > S3 >S1. So, supplier ‘S2’ can be chosen for the case study problem. In fact, supplier ‘S2’ is one of the leading manufacturers of general equipment and accessories treated as fast moving items in steel companies. Although the study concentrates on steel industry, the methodology is quite general and be adopted in any industry if the criteria and alternatives are clearly defined.
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