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  2. Travaux Universitaires
  3. Projet de fin d'étude d'Ingéniorat
  4. ING- Génie Industriel (Génie Industriel)
Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/298
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dc.contributor.authorBENTAYEB, Adel-
dc.contributor.authorMESSAI, Haythem-
dc.contributor.authorGHOMARI, Leila(Directeur de thèse)-
dc.date.accessioned2025-03-10T12:56:09Z-
dc.date.available2025-03-10T12:56:09Z-
dc.date.issued2024-
dc.identifier.urihttp://dspace.ensta.edu.dz/jspui/handle/123456789/298-
dc.descriptionProjet de fin d’étude d'ingeniorat: Génie Industriel: Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024en_US
dc.description.abstractThis project explores Robotic Process Automation (RPA) implementation at General Electric Algeria Turbines (GEAT) to optimize processes and enhance efficiency. Using Business Process Management (BPM) and Process Mining, tasks were identified for automation. UiPath was used to develop RPA bots, resulting in improved cycle times, error reduction, and cost savings. The study confirms RPA’s strategic benefits and future potential.en_US
dc.language.isoenen_US
dc.publisherENSTAen_US
dc.subjectBusiness process optimizationen_US
dc.subjectProcess-Miningen_US
dc.subjectRPAen_US
dc.titleOptimization and Automation of an industrial process with Robotic Process Automationen_US
dc.typeThesisen_US
Appears in Collections:ING- Génie Industriel (Génie Industriel)

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