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The purpose of the present study is to provide a systematic conceptual model of the structure of the supply chain network. The study sample is agricultural sector selected by snowball sampling, 50 scholarship experts in the field of agriculture equipment were selected to collect data. Collecting data in this study is a combination of library and field methods. To determine the optimal pattern of production, including the Cobb-Douglas production function frequently, transcendental, secondarily generalized trans log by software SPSS, eviews5 was estimated and to determine the best function that can explain better structure the Durbin-Watson test for autocorrelation test, variance inflation test to check the alignment, Jrakbra test to check the normality of the disturbance terms Arch test for heterogeneity of variance was used. The results showed that there is a significant relationship between the inputs in the production process. Between the average costs and amount of production there is a significant relationship and between the systematic production and supply chain network structure there is a significant relationship. DOI: 10.5901/mjss.2016.v7n2s2p9

Presenting a Conceptual Model for Systematic Structure of Production in the Light of Various Structures of Supply Chain Network