AOUAIDJIA HarouneCHAABNA Mohamed RafikGHERBI Saida(Encadrent)2025-11-172025-11-172025http://dspace.ensti-annaba.dz:4000/handle/123456789/892This dissertation presents the design and development of a web-based CMMS designed specifically for SAH SPA LILAS in El Bouni, Annaba. The CMMS was developed to address several significant problems related to the company's eight production lines. Problems in implementing paper-based maintenance which results in inefficient maintenance tracking, unsatisfactory team coordination, and little equipment traceability, are crippling processes and compliance for ISO 9001:2015 status for the company. In integrating new web technologies (HTML, CSS, Flask, MySQL) with machine learning algorithms (Pandas, NumPy, Scikit-learn) the maintenance department is able to analyze the equipment using predictive maintenance for machines using Multi-Layer Perceptron regression methods; the CMMS has sufficient features to allow for role- based access restriction, interventions as well as spare parts tracking, external work requests (work orders) processing, and KPI performance tracking using real-time dashboards. On the whole, the CMMS represents a considerable enhancement to SAH SPA LILAS's maintenance efficiency and processes in addition to advancing the process and practice from a reactive approach to a proactive maintenance strategy. Although it has not gone live at this time, user testing of the CMMS application has demonstrated its usefulness in minimizing downtime, making more efficient use of all operating assets and resources, and has the potential to also support SAH SPA LILAS's Digital transformation journey moving forward into the future. The research presented in this dissertation will contribute to the ongoing strategic roll-out of Industry 4.0 by local manufactures, especially as it is not common in Algeria. It is also a clear example of how a local enterprise may use new technologies and applications to further enhance their operational performance.enThesis