Industrial and Logistics Systems Optimization (OSIL) M2

This specialization is designed to train students for careers in industrial R&D, academic research, and consulting in the field of decision-making aids and industrial and logistics system optimization. It focuses on providing students with an understanding of the research issues in industrial and logistics systems, as well as with the methods and tools for their resolution. Beyond the field of goods-product industries, the OSIL specialization also aims to harness methods and tools originating in research for the analysis and optimization of services, where the stakes in terms of cost reductions and service quality represent a major challenge calling for a conceptual and structured approach based on a range of specialized methods and tools.


Students are trained in a range of operations research and decision-making aid models, methods, and qualitative and quantitative tools, which allow for the analysis and optimization of industrial and logistics systems. Most of these models, methods, and tools originate in the field of operations research, in the broad Anglo-American sense of the term, and include:

  • Stochastic models (Markov chain, queuing theory, discrete event simulation, etc.)
  • Mathematical programing (linear programing, whole number programing, constraint programing, etc.)
  • Multi-criteria optimization and multi-criteria decision-making aids
  • Stochastic optimization and dynamic programing
  • Graph theory
  • Meta-heuristic methods (genetic algorithms, taboo methods, etc.)
  • Statistical methods, etc.

This range of models, methods, and tools are useful to address the various decision-making aid issues in goods and services industries. Beyond acquisition of these methods and tools, the program emphasizes on the one hand the analysis of the various decision-making aid issues in industrial and logistics systems, and the formulation of adapted optimization models, as well as, on the other hand, the insights they bring on the behaviors of complex industrial and logistics systems, thus allowing for better understanding and analysis. The program’s goal is thus to prepare students to confront optimization issues in complex industrial and logistics systems, which will require them to analyze, simplify, and structure complex issues so as to develop efficient and robust decision-making aid approaches.


Basic modules:

  • Multi-Criteria Decision-Making Aids
  • Logistics Organization and Production Processes
  • Optimization Methods and Decision-Making Aids
  • Language
  • Research Training & Thematic Dissertation

Elective courses:

  • Discrete Event System Simulation
  • Stochastic Models and Applications
  • Flow and Stock Management
  • Decision-making Under Uncertainty - Negotiation
  • Advanced Optimization Methods and Applications
  • Combinatorial Optimization, Graphs, Networks and Applications
  • rss


M2 Coordinator Vincent Mousseau Email :


  • Organization engineer, processes and methods, quality, safety, and environment engineer, maintenance engineer / corporate services / new works)
  • Supply-chain manager-logistics chain (manager of supply chain, distribution chain, flows, operations logistics unit manager, purchase manager)
  • Careers in consulting, banking, and insurance (internal and external organizational and re-organizational consulting, junior strategy consulting, project financing, structured financing, junior fusion acquisition, internal external auditing, industrial risks analyst)
  • Industrial engineering research and development
  • Academic research

Academic and
Industrial Partners

The OSIL specialization draws on the resources of one of the areas of research of the Industrial Engineering laboratory at École Centrale Paris, which deals precisely the domain covered by this specialization: Goods and Services Production and Distribution Systems. It is also supported by academic partnerships with several laboratories at prestigious institutions in the Paris region:

  • The LAMSADE CNRS laboratory at the University of Paris Dauphine
  • The Industrial and Logistics Management department at HEC
  • The LIP6 laboratory at the University of Paris VI

Distinguished professors and research supervisors in this area complement the expertise of the teaching staff at École Centrale Paris. Other experts in this area, such as for instance Paris VI Professor Michel Minoux, an internationally renowned optimization specialist, further reinforce the excellence of the program.

From the perspective of industry, the OSIL specialization draws on its participation in a network of companies involved in applied research activities in the field of industrial and logistics system optimization: Renault, PSA, Saint Gobain, Bouygues Telecom, Air Liquide, CEGETEL, etc.