An application of ANP for ranking different factors influencing on demand for auto parts

This paper presents an empirical investigation to study different factors influencing auto parts in different regions of Iran. The study has asked some experts who worked for the biggest auto parts supplier named SaipaYadak to express their insights about important factors influencing demand for auto parts in different region and their insights have grouped into four categories of parts related issues, weather conditions, regional as well as cultural factors. The study has been applied in five different regions of country including central, south, north, west and east. The study has used analytical network process (ANP) to rank different factors and the results indicate that regional factors is the most important item followed by cultural issues, auto parts and weather conditions.