Aerospace Education Catalogue
Ingénieur CNAM spécialité Production Systèmes Numériques - Maintenance Industrielle en partenariat avec INGENIEURS 2000 (apprentissage)
- Organisations :
- Type of Course: Sandwich/Apprenticeship training
- Language(s): French
- Place: Paris (French Regions: Ile-de-France)
- Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
- Level of entry: French Baccalaureat + 2
- This training is included in RNCP / RS
Course Details
Objectives: Industrial maintenance is increasingly taking a predictive approach in order to optimize the operating mode of industrial equipment and systems. It makes it possible to limit/prevent possible failures and breakdowns, and to improve the productivity and profitability of a factory, a logistics center or a company.
Digital technology also represents a relevant lever for increasing the reliability of the industrial park. The dematerialization of collaboration tools, the use of virtual and augmented reality on mobile supports are transforming the profession of the engineer in industrial production/maintenance to meet the needs of digitalization.
The Industrial Production Maintenance engineer contributes to methodical and careful monitoring of an industrial installation, manages and organizes the interventions of maintenance personnel, monitors equipment maintenance conditions, finds technical solutions for improvement for maintenance ( optimized yield, rationalized production costs, more resistant/reliable material, etc.).
Degree Level (EU) : 7 - (EQC level or equivalent)
Targeted careers : Domains: Industrial sectors (automotive, pharmaceutical, agri-food, etc.), Energy (production, distribution, equipment, etc.), Urban and rail transport, Aeronautics, Building industry, etc.
Dedicated web site: https://www.ingenieurs2000.com/formations-ingenieur/ingenieur-production-maintenance-industrielle-numerique/#1637622884681-77d67978-2737
Disciplines
- Engineering Sciences
- System Engineering, Programme Management, Production
Topics
- 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.
- 14 - Aeronautical and Space Vehicles: Aircraft, Balloons, Drones, Launch vehicles, Satellites, Cubsats, High Altitude Platforms, Landers, Rovers, Manned Flights, etc.
- 17 - Programme and Production Management: Project Management, Lean, Industrialization, Life Cycle, Ecodesign, Supply Chain, Assembly Line, Digital Transformation, Factory of the Future, Integration, Maintenance, Recycling, etc.