Supplier evaluation and selection is important in supply chain management. This is a typical multiple criteria decision making that consists of both quantitative and qualitative factors. AHP is a proper approach to aid this decision making problem, because of its inherent capacity to handle qualitative and quantitative criteria, but when criteria are dependent this method is not so good. Also the weight in model may be influenced prejudice.
Data Envelopment Analysis (DEA) has emerged as an important tool in the field of efficiency measurement. This model can aid decision maker in MCDM problem. This paper depicts the supplier-selection process through an imprecise data envelopment analysis (IDEA) model integrated with AHP model, which is called IDEA/AHP model, this model is give a full ranking for supplier based on supplier performance.