Prioritization of Supply Chain Risk Assessors Using Fuzzy Analytic Hierarchy Process

Risk is inevitable in any supply chain. Identifying and evaluating various factors that leads to supply chain risks is a multi-attribute problem. This includes both qualitative and quantitative factors and therefore an appropriate MADM technique is required for proper evaluation and assessment of these factors or attributes. In this research paper, a Fuzzy Analytic Hierarchy Process approach is proposed to prioritize various multiple risk attributes associated with supply, process, demand, control and environmental risks of supply chain. The findings showed that in context of case study, five attributes viz. Applied methods, Concepts & tools, Demand fluctuations, Changes in preferences, Illiquidity & solvency of suppliers, Planning & communication flaws are the most important for evaluating suppliers´ risk.