Purpose: In supply chains, creating a secure space for data production, sending, storing, and analysis has always been a critical issue. The main goal of this research was to evaluate the importance of various security criteria in an intelligent supply chain system.

Methodology: The main data collection method was the expert survey. Experts validated the security criteria and sub-criteria. Then, the importance of these criteria was evaluated using the fuzzy analytic hierarchy process method.

Findings: The results revealed that reliability and privacy with their sub-criteria were the most important ones among the obtained security criteria for IoT-based supply chain management.

Practical implications: The research results can provide valuable insight for supply chains’ decision-makers. The findings can also be a good reference point for researchers who work on the IoT-based supply chain concept in other countries and sectors.

Research limitations: Limitations of this study are the purposive sampling method and the limited scope of studied companies and sectors. Therefore, the article provides initial insight on the matter.

Originality: The study presents the research problem from a new perspective and gives possible solutions for IoT-based supply chain management.