Supply chain, undoubtedly, is an area of wide research and application. It apparently is an incredible network, which comes in to existence with the formation of every organization and, becomes automatically complex as the organization progresses. There are many aspects in supply chain that interest researchers, out of which, development of a supply chain performance measurement method, is having a lot of avenues still left to explore. Fuzzy logic techniques, on the other hand, has wide applications across many fields and, is known to be one of the best means for dealing with uncertainty issues found in data sets. This study is aimed at exploring instances where fuzzy logic technique has been applied to measure supply chain performance. The objective of this study is to capture milestones of fuzzy logic application in supply chain performance measurement, in order to support the interested researchers and practitioners on their further research, and potential real world applications. The findings are anticipated to be of value for academia working on supply chain performance measurement, who are particularly looking at improving the accuracy of results.