عنوان مقاله [English]
Supplier selection is one of the most important activities of purchasing departments. This importance increase even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making (MCDM) problem in which criteria have different relative importance. Due to the key role of supplier's performance on cost, quality, delivery, and service in achieving the objectives of a supply chain. Supplier selection is a multiple-criteria decision-making problem affected by several conflicting factors. In practice,
for supplier selection problems, many input pieces of information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information.The essence of evaluation process and supplier selection is a complex multipurpose decision making problem issue that is affected by several factors. In fact, the evaluation process and supplier selection are based on a series of criteria that must be considered in this process. In this research, a multi-objective model in supplier selection issue is presented for one product. The total cost in suggested model consists of supplier costs and purchaser's
costs and also environmental polluters caused by vehicles transportation have been spotted as an affective factor on evaluation process and total provider's selection. The considered criteria in the suggested model are comprised comprehensive total cost of providers (total costs of ordering and shortage) and minimizing rate of the rejected and uncorrected goods that is also correctable and incorrigible. In fact, minimization of providers lack of quality goods leads to minimizing receiving rate of delayed goods (reducing lead time) and reducing environment polluters caused by transportation vehicles such as (aerial, marine, earthy, railway). We used two methods, such as Zimmermann Fuzzy and Werner ``fuzzyand'' approaches, to solve the suggested model. These methods are analyzed by different dimensions on experimental produced issues, and finally, three methods are compared on produced issues.