The main idea of the paper is to determine the affecting factors on supply chain performance in Iranian auto part industry as well as ranking them to highlight the most important ones. To this aim, literature is reviewed in depth and finally some indices are identified and extracted to measure supply chain performance according to the opinions of connoisseurs. Surveying the indices among practitioners, resulted in developing affecting factors on SC performance. Therefore deploying statistical analysis lead to defining the more important ones, and ultimately they are ranked respectably. These factors as a whole can be considered as a model of measuring the studied SC performance. Results depicted that to this industry, factors such as ordering time and order entry methods are the most important and some recently focused indices such as frequent delivery, continuous relationships and cost-effective innovations that are actually rooted in lean production are less important due to the lack of tendency by this industry toward lean production system. The findings also indicate that mass production system is the dominated approach in this industry. It should be added that this method can be used in other case industries in order to customizing a performance measurement model to each.