Akademik Veri Yönetim Sistemi
12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Roubaix, Fransa, 24 - 26 Ağustos 2016, cilt.10, ss.819-825
Production of high quality goods at the lowest achievable cost as quickly as possible is the main biggest challenge for manufacturing organizations. The design and implementation of agile supply chains (ASCs) is attracting more interest, recently. ASCs require suppliers to strengthen their flexible and agile attributes to remain competitive and to react quickly to market changes and customer preferences. Therefore, each organization in the chain will get the maximum benefit from ASC if they are able to identify satisfactorily agile suppliers. The aim of this research is to apply an analytical multi criteria model, more specifically the analytical hierarchy process to get criteria weights and axiomatic design to get the ranking of alternatives under intuitionistic fuzzy environment that is based on the group decision making approach. The verification of the proposed methodology is performed with the help of a case study in the Turkish apparel industry.