Tunnel operation and maintenance includes a set of activities carried out to maintain the safety, proper functioning, and useful life of tunnels during operation. This research aims to identify and prioritize IoT applications in the operation and maintenance of tunnels using multi-criteria decision-making methods. The Delphi method was employed to identify the criteria and sub-criteria. After implementing the Delphi method, the main criteria were categorized into three groups, and their respective sub-criteria were identified. Subsequently, data were collected using pairwise comparison questionnaires and analyzed using the Analytic Hierarchy Process. The results revealed that the security criterion, with a weight of 0.6404, holds the highest level of importance, followed by the maintenance and repair criterion with a weight of 0.2332, and the processing criterion with a weight of 0.1265, ranking second and third, respectively. Among the sub-criteria of security, the visibility of personnel and machinery ranked first. In the maintenance and repair sub-criteria, preventive maintenance of the tunnel structure ranked first, and updating information and data ranked last. Additionally, among the sub-criteria for tunnel processing operations, field analysis, exploration, and anomaly reporting ranked first, while preventing the waste of mineral resources ranked last compared to other sub-criteria. These results indicate that in high-risk environments such as mining tunnels, safety and preventive maintenance take precedence, while mineral resource efficiency is considered a lower priority.