Abstract
In complex industrial systems, the implementation of effective maintenance strate- gies is crucial to ensure equipment availability, limit interruptions and reduce costs. Although preventive and corrective maintenance is widely studied, the dynamic selection of the best strategy remains a challenge, especially in environments subject to unforeseen disruptions. This article proposes PHADEM (Analytical Hierarchical Process for Maintenance Decision), an interactive multi-criteria decision-making algorithm designed to optimize maintenance strate- gies. Integrating economic, technical and environmental criteria, PHADEM allows the real-time adaptation of maintenance policy to each operational context. The model is implemented via the Alosurf simulation software, allowing for detailed modeling of failures, production flows, and resources. The results show that PHADEM improves the overall performance of the system, while ensuring optimized resource management.
DOI: 10.61416/ceai.v28i1.9828