Conclusion
Supply Chain Risk is the potential occurrence of an incident or failure to seize opportunities in Supply chain in which its outcomes result in a financial loss for the firm. We adopted FAHP decision making technique for risk assessment, for that first we identified four primary risk factors for our model and each of them had 3 sub criteria. A questionnaire was formulated using Google Forms and sent out to several automotive industries (Hero Motor Corp, Hyundai Motor, India, Tata Motors, Ford India, etc.) for responses. 46 responses were received and the reliability analysis was conducted using SPSS software for reliability analysis and the Cronbach’s alpha value was found to be 0.724, which was within acceptable limit. Based on these responses, pair-wise comparison matrices were constructed and their consistency ratios were evaluated. The CR value were within acceptable range i.e. less than or equal to 0.10. For data analysis Chang’s Extent Algorithm was employed. First the synthetic values were calculated, based on those degree of possibility was evaluated. Finally the priority weights were obtained for the primary criteria and all the sub-criteria. This completed our decision-making model for Supply Chain Risk Assessment.
