Abstract
Supply chain networks worldwide were disrupted substantially during covid-19 pandemic. More specifically, the supply chain networks for Small and Medium Enterprises (SMEs) were exposed to various risks and disrupted more significantly than large organisations during and after the covid-19 era due to these disruptions and limited resources. This study uses the fuzzy set theory to present a conceptual framework for a comprehensive supply chain risk assessment in SMEs during uncertain times. A case study illustrates the efficacy of the proposed conceptual framework for post-covid-19 risk assessment in SMEs in a developing country. The proposed framework evaluates the overall risk index in SMEs based on seven Supply Chain Risk (SCR) factors and 42 associated attributes. In addition, twenty SCR attributes are identified as the main SCR obstacles according to their fuzzy supply chain risk index.
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