علي شجاع اقدم

Maintenance and predictive repairs represent the most preva‎lent example discussed in relation to market propositions in the Industrial Internet of Things (IoT) domain. This area is currently attracting significant investments and research attention. The primary aim of this research is to conduct a systematic review of the literature in the field of maintenance and repairs, with a specific focus on the Internet of Things, in order to enhance our understanding of this domain, identify research gaps, and propose a primary objective model. Firstly, it was observed that there is a lack of a suitable model for developing an IoT-based maintenance and repair system. Such a model should be applicable across all levels of an organization, ranging from top-level management and strategic planning groups to individual operators. Additionally, the absence of a system capable of making decisions on fault reporting or self-repair based on prevailing conditions was identified. To address these gaps, a conceptual model for IoT implementation in the railway sector is proposed as the initial step. Subsequently, using the Delphi method, significant priorities for implementing a maintenance and repair system are extracted across different sections of the railway domain. Factors associated with railway lines, bridges, and tunnels are recognized as the most suitable infrastructure for IoT system implementation. Furthermore, a modeling approach is employed to minimize system costs while considering constraints related to human resources, tools, necessary components, and IoT system capabilities. Moreover, for future research, the model parameters can be computed. By integrating these parameters into the model and gathering relevant information from the respective sectors in the railway industry, the model can be solved, and the obtained results can be utilized to drive improvements within this industry.

نگهداري و تعميرات , اينترنت اشيا , سنسور , نت قابل پيش بيني , نگهداري و تعميرات الكترونيكي

Maintenance , Internet of things , RFID , Preventive maintenance , emaintenance

Ali Shojae Aghdam

Dr. Alireza Moeini