In railway systems, every equipment item requires maintenance, which in turn can affect the availability of a certain machine and the planned transport schedule. This paper aims to provide a method for integrating the maintenance operations into railway transport networks based on fuzzy logic. The proposed approach allows the insertion of daily or weekly preventive and corrective maintenance operations when the rolling stock is available, in order to minimize downtimes, avoid disastrous scenarios and preserve the transport network’s stability and safety. Two algorithms were established for inserting the planned machine recovery tasks into the Sahel metro’s availability periods, with or without the modification of the initial scheduling solution. Further on, an illustrative example is provided in order to highlight the efficiency and accuracy of the newly developed approach for a real railway system. The findings of this paper reveal that fuzzy logic can also be applied to sustain the travel process in the degraded modes of operation, while guaranteeing satisfactory traffic quality and safety levels for the customers by incorporating experts.
Fuzzy logic, Maintenance scheduling, Safety, Railway transport networks.
Sarra MELLOULI, Anis MHALLA, Simon COLLART-DUTILLEUL, Hassani MESSAOUD, "Fuzzy Predictive Maintenance for Railway Transport Networks", Studies in Informatics and Control, ISSN 1220-1766, vol. 34(2), pp. 53-63, 2025. https://doi.org/10.24846/v34i2y202505
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