طراحي و بهينه‌سازي سيستم اطلاعات مديريت تعميرات لكوموتيو

Management Information System (MIS) , Locomotive Maintenance Management , Logical an‎d Physical Architecture , Hierarchical Clustering , Analytic Hierarchy Process (AHP) , Optimization

Configuration an‎d optimization of locomotive management information system

مهندسي راه آهن

The present research aims to design an‎d optimize the locomotive maintenance management information system in Alborz Niroo Company. In the current situation, maintenance systems in the countryʹs railway industry face challenges such as lack of information integration, lack of effective communication between units, an‎d non-data-based decision-making. This research, with an analytical an‎d applied approach, attempts to address these shortcomings by designing a comprehensive an‎d intelligent model an‎d provide a platform for scientific an‎d preventive decision-making. In the first step, by conducting a detailed needs assessment an‎d identifying key maintenance processes, a set of 47 main processes were defined an‎d coded. Then, using DFD data flow diagrams an‎d analyzing the relationships between system components, the logical architecture of the system was developed. In the next stage, the physical architecture was designed, including major subsystems such as basic locomotive information, personnel information, GPS monitoring, preventive maintenance, warehouse, reporting, an‎d management dashboard. In order to optimize the process structure, the HC hierarchical clustering method was used to group similar processes at different cutoff levels (0.57, 0.6, an‎d 0.67), an‎d the dendrogram output provided a new logical structure of the process relationships. Next, using the AHP analytic hierarchy process, the major research objectives, including increasing reliability, reducing costs, increasing asset lifespan, improving safety, an‎d data-based decision-making, were weighted, an‎d combined optimization results were obtained. The research results showed that designing a maintenance management information system based on data-driven an‎d multi-criteria decision-making can lead to increased locomotive reliability, reduced repair time, reduced operating costs, an‎d improved train movement safety. Also, the proposed model, with its integrated structure an‎d ability to connect to existing systems, has high potential for implementation in the real environment of the Iranian railway industry.

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