توسعه مدل تصمیم گیری با استفاده از تحلیل سلسله مراتبی یکپارچه و DEA برای انتخاب فروشنده

In today's highly competitive and interrelated manufacturing environment, effective selection of suppliers is very important to the success of a manufacturing firm .Evaluating and selecting the best among the offers provided by various suppliers is a complex problem that takes into account both tangible and intangible criteria's. This paper considers supplier selection as a multi-criterion decision problem. Data envelope analysis (DEA) is used in this paper to generate local weights of alternatives from pair-wise comparison judgment matrices used in the analytical hierarchy process (AHP).The local weights generated using DEA are being aggregated using the AHP procedure.