Multiattribute Supplier Selection Using Fuzzy Analytic Hierarchy Process
نویسندگان
چکیده
Supplier selection is a multiattribute decision making (MADM) problem which contains both qualitative and quantitative factors. Supplier selection has vital importance for most companies. The aim of this paper is to provide an AHP based analytical tool for decision support enabling an effective multicriteria supplier selection process in an air conditioner seller firm under fuzziness. In this article, the Analytic Hierarchy Process (AHP) under fuzziness is employed for its permissiveness to use an evaluation scale including linguistic expressions, crisp numerical values, fuzzy numbers and range numerical values. This scale provides a more flexible evaluation compared with the other fuzzy AHP methods. In this study, the modified AHP was used in supplier selection in an air conditioner firm. Three experts evaluated the suppliers according to the proposed model and the most appropriate supplier was selected. The proposed model enables decision makers select the best supplier among supplier firms effectively. We confirm that the modified fuzzy AHP is appropriate for group decision making in supplier selection problems.
منابع مشابه
Supplier selection in the sustainable supply chain: The application of analytic hierarchy process and fuzzy data envelopment analysis
The development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due to the rapidly changing environment, and different perspectives are needed to be considered. The...
متن کاملDevelopment of the Supplier Selection Criteria on Evaluating Wafer Supplier: an Application of Fuzzy Delphi and Fuzzy AHP
Because of the pressure of globalization in the last two decades, professional services has become an important strategic decision so that supplier selection is a prime concern. In the semiconductor industry, the prior researches worked on analyzing and improving the process, and evaluating the equipment manufacturers. Consequently, this study is to identify critical factors related to the wafe...
متن کاملApplication of Fuzzy Analytical Hierarchy Process and Quality Function Deployment Techniques for Supplier's Assessment
Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the "weights" for the customer requirements is an essential and crucial issue. FAHP has been used to determine the importance of the "we...
متن کاملAn Application of Fuzzy Delphi and Fuzzy AHP on Evaluating Wafer Supplier in Semiconductor Industry
Because of the pressure of globalization in the last two decades, professional services has become an important strategic decision so that supplier selection is a prime concern. In the semiconductor industry, the prior researches worked on analyzing and improving the process, and evaluating the equipment manufacturers. Therefore, being the semiconductor industry applying a wide huge of advanced...
متن کاملFuzzy AHP approach for supplier selection in a washing machine company
Supplier selection process has gained importance recently, since the cost of rawmaterials and component parts constitutes the main cost of a product and most of the firms have to spend considerable amount of their revenues on purchasing. Supplier selection is one of the most important decision making problems including both qualitative and quantitative factors to identify suppliers with the hig...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Computational Intelligence Systems
دوره 3 شماره
صفحات -
تاریخ انتشار 2010