Master of Science (MoS) specialization in Knowledge Integration in Mechanical Production - Advanced Production Systems (KIMP - APS)
Campus
Program description
This program consists of one semester of courses taught in English and held on the Lille campus, and one semester dedicated to completing the Master's thesis. This Master's thesis is a full-time project carried out in a laboratory or company, in France or abroad.
The first semester is divided into two quarters, one quarter of core courses (shared with all KIMP tracks) and one quarter of specialized courses.
- Fall Semester: Courses.
- Spring Semester: Master's Thesis.
Core courses:
- Methods and models for the integration of both product and manufacturing process parameters
- Tools for integration Example on the generation of Machining process by using AI approaches (expert system, Constraint Satisfaction Problem, Fuzzy Logic, AHP)
- Modeling and control of mechatronic devices
- Manufacturing process management
- Literature Review
- French language and culture (Foreign language for French speakers)
Specialized Courses:
- Modeling and Analysis of Dynamic Mechanical Systems
- Control of Dynamic Systems
- Advanced Mechatronics
- Robotics
- Team Building and Management
We use RoboDK for offline simulation and programming of industrial robots.
Objectives
Design and integrate agile (flexible and rapid) production systems for modern and competitive manufacturing industries.
Learning outcomes
Identifying and formalizing knowledge based on a scientific approach to modeling and designing advanced production systems. The KIMP-APS program provides training for further PhD studies, research activities, or positions in industry as an expert with international experience gained by working in an international and multicultural context.
Laboratory and technological platform
All information available on LISPEN's YouTube channel
Partners
- University of Tehran (Iran)
- ENSAM Meknes and ENSAM Casablanca
- National Engineering School of Bizerte (ENIB)
Internships and projects
Contribution to the creation of the Digital Twin of a robotic workstation in an assembly line
- Design of Collaborative Robotic Cell for the Assembly of Car Engines.
- Design of a Mixing and Printing Head for the Continuous Bioprinting of Hydrogels
- Nonlinear vibration of a cyclic symmetric structure Implementation of Machine Learning Algorithms for Solving SLAM Problem of Mobile Robots
- Supply chain integration and its effect on both the performance of the supply chain and the quality of the product
- Data Mining on SCADA Event Codes for Predictive Maintenance of Wind Turbines
Practical Information
- Expected degree: For Arts et Métiers : selection is carried out through the 2A and 2B selection processes. For foreign students: having a degree equivalent to M1 (first year of Master of Science degree).
- Teaching language: English
- Period: One year (begins with the fall semester in October)
- Teaching hours: approximately 200 hours of face-to-face classes
- ECTS credits: 30 per semester (a total of 60 credits)
How to apply online?
If you are applying for the first time and do not have an account ⇒ register online to receive a password to apply
If you have an account ⇒ go to the online application portal
Contacts
Adel OLABI - adel.olabi@ensam.eu
Key words
#Industry40 #KnowledgeIntegration #MechanicalEngineering #riskAnalysis #IndustrialRobotics #MachineLearning #Mach
