AN EVALUATİON OF THE VARİABLES USED İN THE EVALUATİON OF SUPPLY CHAİN PERFORMANCE WİTH ARTİFİCİAL NEURAL NETWORK

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Supply chain management is a process including a number of activities such as the storage, transportation, distribution and control of goods and services and a process extending from suppliers to suppliers to the end product purchased by the customers. The measuring of the effectiveness and efficiency of the operations in this process is a separate problem for the businesses activities. The variables used in the measuring the supply chain performance vary from business to business. The main purpose of this study is that which variables are more important or which variables are less important for the companies operating in the retail sector. In this study, first the model is formed by the base and sub variables according to previous studies, then the variables measuring the supply chain performance are classified by the neural network method. The artificial neural network is an artificial intelligence method which is developed by the human brain inspired, mimicking the biological nevre cells and which produces new knowledge through learning. In this study, radial basis neural network which is an artificial neural network method is used.

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Supply Chain , Supply Chain Performance , Artificial Neural Network , Radial Basis Neural Network

Journal Of Economics an‎d Administrative Sciences

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Journal Of Economics an‎d Administrative Sciences