A Model for Selection and Optimal Allocation to Suppliers Under Fuzzy
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Nowadays, in competitive markets, firms that are capable of predicting the future and acquiring opportunities at higher pace can sustain as the leaders in the business environment. Supply chain management, due to its impact on the competitiveness of companies in today's global economy, has been determined as an important and fundamental subject in the world of academic investigations. Supply chain management has been acknowledged as a present-day concept, which can offer both strategic and operational benefits. Among the effective components in supply chain management is the evaluation and sel...
Nowadays, in competitive markets, firms that are capable of predicting the future and acquiring opportunities at higher pace can sustain as the leaders in the business environment. Supply chain management, due to its impact on the competitiveness of companies in today's global economy, has been determined as an important and fundamental subject in the world of academic investigations. Supply chain management has been acknowledged as a present-day concept, which can offer both strategic and operational benefits. Among the effective components in supply chain management is the evaluation and selection of suppliers. In this research, a model for the selection of suppliers to achieve optimal order allocation under fuzzy conditions is studied. For this purpose, Delphi method, Fuzzy AHP and linear programming technique were used. According to results obtained from the Delphi method, four criteria of cost, delay in delivery, quality, and technology have been selected in that order as the most important criteria to rank suppliers of Saipa Company.
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