Agile Factory Management (I-ENG AFM)


This M2 specialism aims to develop particular competencies dedicated to agile and reconfigurable factory management. Fundamental approaches for factory design and simulation will be introduced as well as performance assessment. At the conclusion of the course, students should be able to model and simulate production systems, to optimize production systems control strategies and to apply new assessment methods based on simulation and optimization approaches, taking into consideration different kinds of indicators (environmental, social, economical) related to agile factories. There is a strong link with the other specialism - Smart and Connected Enterprise.

Course Content - M1 Industrial Engineering


First Semester Course ECTS Second Semester Course ECTS
Modelling of complex systems (1) 4 Systems engineering 4
Entreprise modelling 4 Statistics and data analytics 4
Optimisation methods 4 Sociology for industrial engineering 4
Production management (1) 4 Simulation (2) 4
Simulation (1) 4 Modelling of complex systems (2) 4
Economics and management for industrial engineering 4 Innovation engineering 4
Conferences / Introduction to research 2 Conferences / Introduction to research 2
Modern languages 4 Modern languages 4


NB Course content may be subject to minor changes

Course Content - M2 Agile Factory Management


First Semester - 30 ECTS credits

First semester course ECTS
Production management (2) 4
Logistics 4
Operational research tools 4
Shop floor scheduling 4
Performance evaluation and multi-criteria decision 4
Integrated design engineering of production cyber-physical systems (CPS) 4
Bibliography 2
Modern languages 4

Second Semester - Master Thesis - 30 ECTS credits
NB Course content may be subject to minor changes

Skills developed


  • Master modeling and simulation of production systems
  • Master optimisation methods for production system control
  • Master the new concepts and performance indicators of the smart and agile factory

In addition to the above specialism-specific skills, students will also develop more general skills:
  • Identify models, perfom simulation and analyse results
  • Communicate comprehensive results in a meaningful way
  • Undertake bibliographic surveys of international research and professional literature
  • Manage or be part of a project

Admission Criteria


Students must hold a first university degree with 180 credits in the European system, after at least three years of studies (Bachelor of Science level or equivalent).
The applicants must be fluent in English, both in writing and speaking. An applicant whose native language is not English is required to pass a recognized international English test such as the TOEFL or other equivalent tests.
Published on April 3, 2017 Updated on April 10, 2018