Abstract
This paper aims to analyze the interactions between the factors influencing the performance of the reverse logistics chain. We attempted to explore the factors touching performance of reverse logistics relatively to customer satisfaction. We have proposed a structural analysis based on the MICMAC method to classify factors rendering to their direct/indirect influences and dependencies. The outcome of this research is to identify the relationship between the 31 variables used in the experimentation. It can be observed that this exploration may cooperative in reverse logistics policy development arrangement, motivated by customer necessity.