International Science Community Association Research Journal of Management Sciences 2319-1171 8 1 2019 01 6 Minimizing supply chain risk factors using interpretive structural modeling (ISM) 1 14 EN Azad Tanzila 1 Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh Khan Sakib 2 Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh Amin Md. Rahat 3 Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh Mondal Dababrata 4 Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh > Research Paper 2018 10 28 2019 01 6 Singling out of supply chain risks is the prior stage in the risk management process. To understand and manage risk of supply chain is a significant concern of business and a compounded problem. There exists a variety of standard for risk minimizing in supply chain management. Interpretive Structural Modeling(ISM) tactic initiates with an identification of variables, which is applicable to the problem or an issue. In this research, these variables were taken under a company as risk factors whereas Structural Self-Interaction Matrix (SSIM) is converted into a Reachability Matrix (RM) and its transitivity has also been seasoned. Once transitivity has been checked, a contextually applicable subordinate relation is being chosen. Having decided the contextual relation, a Structural Self-Interaction Matrix (SSIM) is established based on pair wise comparison of variables. In this paper the elements (also referred as variables) for the implementation of RM in a warehouse has been analyzed to find an ISM which indicates the interrelationships of the elements and also their levels. These elements have also been categorized according to their driving power and dependency. This research work has been done with twenty factors, also the percentage of the drivers, linkages, autonomous along with the independent variables have been found. Copyright@ International Science Community Association