This article studies an application of discrete-event simulation (DES) combined with multi-criteria decision analysis (MCDA) to study manufacturing procedure integrated with logistics activities in an automotive supply chain. Automotive Industries Development Pressed Components Company (AIDCO PRESS) as an important supplier is linked to IRANKHODRO CO, a distinguished automobile company at Iran, by a web based inventory management system implementing Kanban philosophy. AIDCO PRESS's inefficiencies in responsiveness to the received Kanabns from IRANKHODRO CO endanger the automotive supply chain's agility, and also threaten its future role as a reliable supplier. DES modeling approach is used to analyze such a complex system in order to determine the causes of lateness in receiving the requested parts by IRANKHODRO CO. Consulting with the executive and plant managers, improvement scenarios are defined in order to obviate the inefficiencies' origins, and then MCDA methodology considering responsiveness, cost and utility criterions is pursued to find the best scenario. Collectivity of the studied problem together with the reality nature of the case distinguishes this paper from the decision analysis studies in the automotive supply chain literature.