The unanticipated events and recent disruptions in supply chain cause a huge damage
on businesses. Due to increasing number of supply chain risks to consider, predicting the impact of these risks are getting more difficult. In this study several techniques are combined and utilized to investigate the impact of supply chain risks on company measures. An Intuitionistic Fuzzy Entropy Weighing Method and Failure Mode and Effect Analysis method were combined to rank the identified supply chain risks while Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution and Intuititionistic Fuzzy Višekriterijumsko Kompromisno Rangiranjeis are used in assessing the impact of these risks in company metrics. It is concluded that market change risk should be given the highest importance, followed by inaccurate information sharing and bullwhip effect while high crime rates and pollution were given the least priority. The top priority risks were found out to havea negative impact on the quality and expense measure of the company. The finding of this research also shows that equal weights in each supply chain risk or prioritizing the governmental and natural risk will impact the quality and flexibility metric while operational, demand and information technology risk will impact the quality and expense metric of the company. This study also proves that quality metric should be given the utmost priority as it will have an impact the most in business in any scenario. With this research, management will be able to properly plan their risk mitigation and allocate their resources accordingly.

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