Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/298
Title: Optimization and Automation of an industrial process with Robotic Process Automation
Authors: BENTAYEB, Adel
MESSAI, Haythem
GHOMARI, Leila(Directeur de thèse)
Keywords: Business process optimization
Process-Mining
RPA
Issue Date: 2024
Publisher: ENSTA
Abstract: This 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.
Description: Projet de fin d’étude d'ingeniorat: Génie Industriel: Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024
URI: http://dspace.ensta.edu.dz/jspui/handle/123456789/298
Appears in Collections:ING- Génie Industriel (Génie Industriel)

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