Developing a Predictive Maintenance Tool for the Company ETUSA

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dc.contributor.authorSlimani, Tahar
dc.contributor.authorKroubi, Rafik
dc.contributor.authorReporter: Mehenni, Tahar
dc.date.accessioned2023-06-26T09:21:11Z
dc.date.available2023-06-26T09:21:11Z
dc.date.issued2023-06-10
dc.description.abstractThis master's dissertation focuses on developing a predictive maintenance tool for ETUSM, a bus company. The research involves data collection and analysis using advanced analytics techniques and machine learning algorithms to forecast potential failures in the bus fleet. The study contributes to enhancing maintenance practices, minimizing downtime, optimizing costs, and improving the reliability and availability of the buses. The developed tool serves as a significant step towards proactive maintenance strategies in the transportation industry, benefiting both ETUSM and its customers.en_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/39802
dc.language.isoenen_US
dc.publisherUniversity of M'silaen_US
dc.subjectDeveloping Predictive, Maintenance Tool for the Company ETUSAen_US
dc.titleDeveloping a Predictive Maintenance Tool for the Company ETUSAen_US
dc.typeThesisen_US

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