Industrial Engineering Department - INSA de Lyon

Industrial Engineering
Department
I n d u s t r i a l E n g i n e e r i n g
INDUSTRIAL ENGINEERING
INDUSTRIAL ENGINEERING
DEPARTMENT
INDUSTRIAL ENGINEERING
TRAINING
Industries, confronted with international
competition, must unceasingly innovate to
diversify, to conquer new markets, to better
produce, to satisfy customer requests. To
remain competitive, they must adopt a
perspective of continuously improving overall
performance, by using tools and methods:
To innovate,
To manage the product life cycle,
To manage and optimize their Supply
chain,
To develop and protect their know-how,
To improve their production,
To fulfill environmental requirements
(ethics, sustainable development,)
Industrial engineering concerns production
systems, supplying and/or distribution of goods
or services, their design, their implementation,
their management and their improvement, with a
systemic vision.
The Industrial Engineer is essentially a
production manager with an internationallyoriented
outlook.
S/he is able to conceive, establish and control
complex industrial systems while considering the
whole technical, organizational, financial and
human dimensions. The skills involved serve to
enhance performance, safety and quality. The
competences extend from installations to
products while including relations and
information brought into play during production.
His/her personal evolution will lead him/her to
take on more and more responsibilities. S/he
must then, be able to accompany and lead
collaborators towards the aims by implementing
human relations qualities to explain, convince,
justify, control...
INSA de Lyon - Industrial Engineering Department
Bât. Jules Verne - 19 avenue Jean Capelle
69621 Villeurbanne cedex
w w w . i n s a - l yo n . f r

Industrial Engineering
Industrial engineering concerns production systems, supplying and/or
distribution of goods or services, their design, their implementation, their
management and their improvement, with a systemic vision.
The Industrial Engineer is essentially a production manager with an
internationally-oriented outlook.
S/he is able to conceive, establish and control complex industrial systems
while considering the whole technical, organizational, financial and human
dimensions. The skills involved serve to enhance performance, safety and
quality. The competences extend from installations to products while including
relations and information brought into play during production. His/her personal
evolution will lead him/her to take on more and more responsibilities. S/he
must then, be able to accompany and lead collaborators towards the aims by
implementing human relations qualities to explain, convince, justify, control...
Main employment fields
The Industrial Engineer’s competences and knowledge of the different tools
and methods of optimization are sought by any type of structure and any
branch of industry:
Data processing equipment and electronics,
Automobile industry, aeronautics, transport,
Food industry,
Pharmaceutical, cosmetic, metallurgical and energy industries,
Services, engineering and technical studies,
…
The constant research for overall improvement of corporate performance leads
the Industrial Engineer to have a transversal approach to the company
including flows (goods, information, financial data,) and processes in their
entirety. As a Project Leader, the Industrial Engineer has to exert functions in
various fields such as:
INDUSTRIAL
ENGINEERING
Industries, confronted with
international competition,
must unceasingly innovate to
diversify, to conquer new
markets, to better produce, to
satisfy customer requests. To
remain competitive, they must
adopt a perspective of
continuously improving overall
performance, by using tools
and methods:
To innovate,
To manage the product life
cycle,
To manage and optimize their
Supply chain,
To develop and protect their
know-how,
To improve their production,
To fulfill environmental
requirements
Management, Leadership,
Research and Development,
Engineering, Studies and technical advice,
Project or program management,
Production, exploitation, maintenance, tests, quality, safety,
Information systems
…

Industrial Engineering department
The 1000th graduate
has been celebrated
in 2009
INTERNATIONAL OUTLOOK
Minimum score in English
equivalent to 800 at TOEIC
Possibility to prepare double
diplomas with UPC Barcelona
and the University of Santa
Catarina (Brazil)….
Stay in an English speaking
country for all students (3rd
year)
Possibility of six to twelve
months’ exchange within a
foreign university
Possibility of internship within
a foreign company
A large number of foreign
students are being integrated
each year in an exchange
program
From its creation in 1992, the Industrial Engineering Department has
formalized a strong partnership with its professional environment. These
partners take an active part in the evolution of the department by identifying
the problems and emerging themes in their respective fields.
Each year more than 75 students receive a degree after having
completed 3 years’ studies in the department.
The students come either from the bachelors’ level at INSA or from
preparatory classes in prestigious third-level institutions, university institutes
of technology and university scientific programs that award a diploma after
two years of studies.
Thanks to a solid methodological and technical foundation, students
develop an array of fully exploitable skills that respond to employers’
demands. With a generalist approach to training, the department
facilitates their entry into professional life and the best career
advancement possible, in France and abroad.
Industrial engineers trained by the department are able to practice a variety of
careers in virtually all economic sectors. The training prepares them for this
as it develops the necessary competences, allied with strong relational skills.
The department aims to make its aspiring engineers aware of the context in
which they will intervene. The diversity of professional sectors and the
globalization of the economy lead us to consider and draw from experiences
gained in companies and in foreign countries as priority goals.
Presenting real originality in teaching, the Department of Industrial
Engineering is resolutely turned towards project culture and the industrial
world.
Participation in the students’
association ESTIEM
(European Students of
Industrial Engineering and
Management)
Study of a 2nd and 3rd
language: Spanish, German
or Chinese

The foundation course – Basic training
The role of the two-year "First Cycle" is to change freshly integrated
secondary education students into future INSA Engineers. The "First Cycle"
provides the basic core tuition required in science, technology and
humanities, in order to follow the specialization programs of engineering
training
The second cycle - Specialization
The second cycle covers three years and aims at training innovating and
enterprising engineers. INSA engineers are trained to operate within complex
environments and in complex situations. They are open to the world,
responsible, autonomous and communicate effectively.
PhD
After their engineering degree, students may choose to further their studies
by entering a 3 year training and research course leading to a Doctoral
Thesis. This course is undertaken within a recognized research team and
under the direction of a research-professor or researcher qualified to direct
doctoral theses.
The Advanced Masters (AM) is a post degree course that covers at least two
semesters and includes theoretical courses, personal research work
conducted in a company and presentation of a professional thesis.
Lifelong training
INSA Lyon offers a wide range of training programs in the scientific and
technical areas. Also transversal training programs addressing themes such
as management, project management and quality are offered.
GI AND RESEARCH
4 laboratories:
Decision and Information
Sciences for Production Systems
(DISP)
Electrical, Automation, Genomics
and Environmental Microbiology
Engineering Lab
Contact Mechanics and
Structures Lab
Laboratory of Images and
Information Systems Information
Technology
Masters of Science
Informatics and Applications
Information Sciences, Devices
and Systems in Electro-technical
and Automation
AWARDING THE DIPLOMA
To obtain the diploma in
Industrial Engineering, the
student must have completed by
the end of the 5 th year:
Industrial internship (18 weeks)
during the 4 th year, validated by a
report and an oral presentation.
Each study unit and final project
assignment presented before a
jury.
An equivalent score of 800 on the
TOEIC test obtained during the 3
years at IE.
A qualification of at least level 1
in another foreign language
(other than English).
The validation of a non-scientific
research project in Humanities

1st year in GI : The Approach
BASIC TRAINING OF THE
ENGINEER
Computer sciences
Mechanics
Automatic control & systems
Mathematics and physics
Languages
SPECIFIC TRAINING
Management
Financial management
Human resources management
Marketing, strategy
Decision-making, Optimization
Planning, Scheduling
Design of production systems
and logistic chains
Information systems, ERP, APS
Automation, Technical data
management,
Knowledge management
Project management
Product Life cycle Management
PROFESSIONAL TOOLS
Acquisition of the technical and methodological bases, discovery of corporate
organizations.
Visits of industrial sites
A stay in an English speaking country for language practice
2nd year in GI : The Integration
Improvement and appropriation of the methods in industrial management
sciences
A seven month group project of (ten students per group), which allows the
students to develop products for IE’s industrial partners. In this framework,
they gain experience in project management and customer relationship
management.
Immersion in a company through long-term industrial internship (minimum 18
weeks). For the student, this is first-hand experience in the situation of an
engineer. This internship gives practical meaning to the concepts and models
discovered in his/her academic education. It provides the opportunity to get in
touch with industrial culture.
3rd year in GI : The Control
Feedback on cultural and industrial dimensions of the internships
Achievement of real business projects by industrial speakers (logistics,
quality, Amdec, re-engineering, company creation)
Final project assignment – “PFE” (minimum 18 weeks): a mission in an
industrial environment with full support of the Department’s resources
(materials, documentation and human resources)
Flow simulation (ARENA)
ERP (SAP/R3)
Manufacturing Execution System
(MES)
Scheduling (Incoplan)
Process modeling (ARIS)
Project management (MS
Project)
Product design (Solid Edge)
Pro Engineer
Minimaint

The 1st year in IE aims to teach the basic and essential concepts inherent to an industrial engineer’s culture and knowledge.
The student thus acquires fundamental knowledge in process control, computer science, mechanics, communication and business
management.
This teaching, with a broad spectrum, prepares the future engineer for communicating with specialists in various fields and in a
project-oriented situation. Indeed, projects constitute an important part of the teaching program from the second half of the year
onwards. Training in communication is acquired by practicing within the framework of a theatre project. Extending cultural and
linguistic knowledge is a priority assured through intensive English training and a 2 to 3 month immersion stay in an English
speaking country.
Practical exercises and projects count for 40% of the scientific workload. Business games and interactive software will be used
within all teaching in IE.
6 training fields: Automatic control & systems— Data base— Models, signals & systems—Materials & manufacturing processes—
Mechanics—Management & social sciences
During the 2nd year, the student learns to master the tools which s/he was familiarized with during the 1st year. S/he
also discovers new techniques centered on production management, computer science and management methods to be put to use
in a transversal approach to the company.
Internship
Classes finish in April and are followed by an internship within a company for 18 weeks. The 2nd year is primordial in the education
of an industrial engineer. Mainly organized in project-oriented work in order to reach and reinforce know-how and better business
knowledge.
Teaching is divided into 5 fields: Computer science—Production management—Decision & diagnosis support—Management &
Social sciences—Project management
After 5 months of industrial internship, the students have a better knowledge of the industrial environment, have more confidence in
their competence and have a more accurate idea of their professional objectives.
Industrial internship (4IE)
This constitutes the first experience as an engineer. It gives a practical meaning to the concepts and models studied during the
training. It provides the opportunity to work with industrialists, and to make first decisions in the industrial world.
Team project (4IE)
Each project is conducted by a group of 8 to 10 students using all the technical resources of the department and its management.
Over 6 months, the project corresponds to an investment of about 3000 hours per team. The main pedagogical objectives are:
- To learn how to conduct a project: to study a market, to
analyze terms and conditions, to negotiate, to manage
resources, to plan, to specify prototypes, to control
quality....and to defend the project in front of a jury,
- To learn how to conduct a real project as a team: group
organization, communication, and coordination. This
training is guided by sociologists playing the part of
group regulators (1 per group of 8 students),
- To learn how to collect, extract, structure and formalize
knowledge on computer-integrated manufacturing,
- To develop creativity,
- To approach a manufacturing company from all aspects
(history, range, organization, strategy, implementation,
process, branches),
- To reinforce the partnership between IE and its
industrial partners by studying and producing products
corresponding to real needs expressed by the industrial
world,
- To control and to develop the use of new technologies,
to design products (applied domain) in a training or
communication context.
- The team project is validated by two oral presentations:
the first one relates to terms and conditions and takes
place in January and the second one, at the end of the
project. This last presentation is preceded by the client’s
reception of the final product.

The 3rd year aims at synthesizing the teaching of the 1st and 2nd years in IE (the industrial projects) and at extending
some of the knowledge (final project assignment, information retrieval) by multiplying contacts with industrialists. Some courses
provide additional training or develop an expertise on certain fundamental points of the industrial world. This last year also provides
the student with, the opportunity to present his personal project in humanities and to acquire knowledge in a second foreign
language (German, Spanish or Chinese), an essential aspect of the international vocation of industrial engineer.
Industrial projects (5IE)
The industrial project is a real corporate project. It is the 3rd year’s masterpiece. Each project (each student will deal with three of
them) is supervised and led by industrial project leaders over 6 weeks. The students are working out a solution in response to a set
of conditions. Each group, as the leader of the project (i.e., 6 students), proposes and defends its technical, organizational,
economic and temporal solutions. Each group is competing to win the market. The debate on the ideas proposed during these
projects is generally beneficial for the industrialists.
Final Project Assignment (5IE)
For 18 consecutive weeks (minimum), the PFE aims to solve an industrial problem within an enterprise.
The project provides a mission similar to that of an engineer. In a general manner, it is question of adopting project management
behavior: product analysis and design phases, implementation of the manufacturing process, production system organization .
A bibliographical research project is associated with the final project assignment. It aims to broaden the student’s knowledge of the
subject studied using international databases, and the ability to collect documents and synthesize the results.
10 to 15% of the Final Project Assignment is carried out abroad
Personal project in humanities
As in the other departments of INSA, each student has to present a PPH. It results from a personal reflection or achievement of a
non-scientific project (social life, culture, sports.)

3 rd YEAR
E3 ECC GI3 ECC 55 Chain of order environment
Coef Coef Hrs ECTS
50 44 2,5
T8 T8 GI3 API 55 Programmable logic control 9 8 1
E4 ARP GI3 ARP 55 Control, regulation, PID 22 20 1,5
P1 P1 GI3 P/CSR 55 Control of a robotized system 27 24 1,5
T2 T2 GI3 TP/PID 55 Process control – PID 18 16 1
E2 SIM GI3 SIM 55 Simulation of system with discrete events 231 18 16 1
T9 T9 GI3 TP/MATLAB 55 Simulation MATLAB 9 8 0,5
T1 T1 GI3 TP/ARENA 55 Simulation SED ARENA 13 12 1
E14 RDP GI3 RDP 55 Petri nets 29 26 1,5
E12 THG GI3 THG 55 Graphs theory 20 18 1,5
E15 PST GI3 PST 55 Stochastic processes 16 14 1
E6 BDI GI3 BDI 65 Data processing bases
34 30 2
T3 T3 GI3 TP/ALGO 65 Algorithmy 23 20 1,5
E7 UML GI3 UML 65 UML 18 16 1
T4 T4 GI3 TP/OBJET 65 Objects 18 16 1
E5 ARO GI3 ARO 65 Computer architecture 163 18 16 1
T19 T19 GI3 TP/ARO 65 Multi-tasking 9 8 0,5
E8 BDD GI3 BDD 65 Data base 20 18 1,5
T6 T6 GI3 TP/XML 65 XML 9 8 0,5
T5 T5 GI3 TP/SQL 65 SQL 14 12 1
E13 MAC GI3 MAC 55 Design methodologies
22 20 1,5
T20 T20 GI3 TP/ASY 55 Systems analysis 9 8 0,5
T22 T22 GI3 TP/REAKTIK 55 Reaktik 9 8 0,5
P2 P2 GI3 P/CSI 65 Design of an information system 27 24 1,5
164
E1 ACS GI3 ACS 77 Conceptual approach of systems 42 38 2,5
T7 T7 GI3 TP/ACS 77 Modelling of systems 9 8 0,5
E11 PRS GI3 PRS 61 Probabilities - Statistics 32 28 1,5
T16 T16 GI3 TP/PRS 66 Probabilities - Statistics 14 12 1
E17 CNU GI3 CNU 51 Numerical control
11 10 1
T10 T10 GI3 TP/CNU 51 Numerical control 13 8 0,5
77
P3 P3 GI3 P/PEX 51 Experimental design 13 12 0,5
P4 ANF GI3 P/ANF 51 Manufacturing analysis 40 32 2 2
E16 MAT GI3 MAT 43 Mechanical properties of materials
30 28 1,5
T12 T12 GI3 TP/MAT 43 Selection of materials, characterisation tests 18 16 1,5
E19 RDM GI3 RDM 43 Strength of materials 40 32 2 2
E20 CSM GI3 CSM 51 Design and fiability of mechanical systems 176 30 28 1,5
P5 CMP GI3 P/CMP 51 Production machines design 40 32 2
T14 T14 GI3 TP/ASM 51 Mechanical systems analysis 9 8 1
T21 T21 GI3 TP/FIAB 51 Fiability 9 8 1
E21 DFI GI3 DFI 11 The company, financial diagnostic
29 24 1
42
T15 T15 GI3 TP/PUI7 11 Methodology of problem resolution 13 12 1
E22 E22 GI3 COMM Communication practice
32 30 2
E23 E23 GI3 ANGLAIS 1st language practice (English) 114 32 30 4
E24 E24 GI3 SPORT Sport activities 50 45 2
3,5
4
2,5
4
3,5
2
1,5
3
4
3
2,5
2
3
5,5
14
10
9,5
4
10,5
2 2
8 8
GI3 BIBLIO 77 bibliographic research 33 33 2 2 2 2
1000 1000 853 60 60 60

4 TH YEAR
Coef Hrs ECTS
E8 AND GI4 AND 65 Data analysis 154 27 20 1,5
E16 EDD GI4 EDD 65 Data warehouse 19 14 1,5 4,5
P2 P2 GI4 P/EDD 65 Data warehouse Project 27 20 1,5
9,5
E18 RES GI4 RES 65 Networks 18 10 1
3
P1 P1 GI4 P/RI Networks project 33 24 2
E3 IHM GI4 IHM 65 Human-computer interaction 30 22 2 2
E5 GP1 GI4 GP1 55 Production management : basics
30 22 2
E6 GP2 GI4 GP2 65 Production management : complements 25 18 1
3
P6 P6 GI4 CSP 55 Design of production systems 179 43 32 1,5 1,5 8,5
P4 P4 GI4 P/OGF 55 Scheduling and flow management 38 28 2 2
P5 P5 GI4 ERP 55 ERP – production management and planning project 43 32 2 2
E4 MES GI4 MES 55 MES
16 12 1
E1 AUT GI4 AUT 55 Automation 16 12 1
2
P3 P3 GI4 P/MES 55 MES project 43 32 1,5
3
P8 P8 GI4 P/AUT 55 Automation project 166 22 16 1,5 8
E7 DMO GI4 DMO 77 Decision support 22 16 1
E10 SDF GI4 SDF 77 Reliability 22 16 1 3
E12 QMA GI4 QMA 77 Quality – Maintenance 25 18 1
E14 BCG GI4 BCG 11 Budget and Control management
27 22 1
49
E15 ASO GI4 ASO 11 Sociological analysis of the organizations 22 16 1
2 2
E11 GEP GI4 MPC 77 Project management
17 6 1
12
P7 P7 GI4 P/PCO 77 Collective project management 322 105 80 11 28
GI4 SINDUS 77 Industrial internship 200 16 16
T GI4 ANGLAIS TOEIC
27 20 0
T2 T2 GI4 LV2 2nd language 130 54 40 2 4 4
T3 T3 GI4 SPORT Sport 49 36 2
1000 1000 584 60 60 60

5 TH YEAR
E1 MRH GI5 MDRH 11 Management of human resources
Coef Hrs ECTS
38 24 2 2
E2 RSE GI5 RSE 11 Corporate social responsibility 31 18 2 2
DED GI5 DED 11 Sustainable Development 15 8 0,5 0,5
E14 KM GI5 KM 11 Knowledge management 32 20 2 2
E4 SVE GI5 SVE 11 Strategy and economical monitoring 138 22 12 1 1
Supply chain and implementation of production
E8 LOG GI5 LOG 55
systems
44 28 2,5 3,5
E11 ACH GI5 ACHAT 55 Purchasing 28 16 1
E15 ERG GI5 ERGO 55 Ergonomy 28 16 1,5
E3 LEA GI5 LEAN 55 Lean 30 18 1,5
E9 SUP GI5 SUP 55 Control - Supervision 28 16 1,5
E13 GMA GI5 GMAO 55 Maintenance assisted by computer 34 22 2
E6 OPA GI5 OPA 55 Advanced planning 34 22 2
E10 PRH GI5 PRH 55 Human resources requirement planning 250 24 14 1
GI5 PFE 77 Final Project Assignment 400 400 30 30 30
GI5 PROINDUS 77
GI5 SPORT
Industrial project 1
40 24 2
Industrial project 2 40 24 2
Industrial project 3 134 54 32 3
Sport
34 21 1
GI5 LV2 Language 78 44 28 1,5
3
3,5
3
7,5
13
7 7
2,5 2,5
1000 1000 363 60 60 60

3 RD YEAR
AUTOMATIC CONTROL AND SYSTEMS
E3 – ENVIRONMENT, COMMAND CHAINS AND REALIZATION -
Hydraulics, actuators, modulators
Measuring chains
Electric actuators
Real case study – choice of actuators and sensors (guiding
principles)
T8 - PROGRAMMABLE LOGIC CONTROLER
Orders of a rotary store by Grafcet
Control of a system of congestion
E4 - CONTROL, REGULATION and PID
Signal processing, filtering
Feed-back, feed-forward
Frequency analysis
Stability, precision
Control, Regulation PID
Controlled systems, correction by PID
T2 – PROCESS CONTROL: PID
Implementation of a real control system:
Control of position and speed
Temperature control
Level regulation
Vertical store programming
P1 – CONTROL OF A ROBOTIZED SYSTEM
Environment, sensors and information acquisition
Transmission and effectors
Ordering algorithms
Global system behavior
E2 - SIMULATION OF SYSTEMS WITH DISCRETE EVENTS
Typology of production systems
Recall of probabilities and statistics
Modeling approaches for simulation
Analysis and validation of models
Result analysis of and decision support systems
Modeling, analysis and evaluation of the performances of systems
with discrete events, in particular production systems
T1 – SIMULATION SED ARENA
Introduction to simulation software and calculation usually used in
companies.
T9 SIMULATION OF CONTINUOUS SYSTEMS WITH MATLAB
E12 - GRAPH THEORY
Various representations of a graph
Connectivity, strong components
Shortest path
Maximal matching, Maximum flow, Minimal spanning tree
Introduction to modeling and optimization.
E14 –PETRI NETS –
This course aims to give the students, specialized in production systems, the
tools and the methodologies of analysis and dimensioning. The studied
systems are characteristic of systems whose states belong to a discrete
space. Transitions from states are only observed at discrete moments of time,
therefore they are called Systems with Discrete Events.
The modeling tools used in this course are Petri nets whose structure (static
model) induces interesting properties, which allow validating the model but
also the studied system. By associating a deterministic temporal
characteristic, this model shows that it is possible to express performances
quantitatively. Beyond the discovery of a modeling tool, this course teaches
knowledge on the engineering environment and on system design and its
terminology.
E15 – STOCHASTIC PROCESSES
This course aims to give the students, specialized in production systems, the
tools and the methodologies for the analysis of stochastic systems. The
studied systems concern systems with Discrete Events for which the
transition moments are not deterministic any more but depend on random
phenomena. The modeling tools used in this course are Markov processes
and queue networks. By expressing the equilibrium equations of these
models it is possible to characterize the load indicator, which is very
interesting for the evaluation of productivity but also of reliability
COMPUTER SCIENCES
E6 – DATA PROCESSING BASES
Introduction (concepts of programming methods, programming
languages, software quality)
Objects and elementary actions
Control structures, Procedures and functions
Iterative Structures
Classes and objects
Polymorphism, sending of message
The reasoning
Knowledge modeling
Structure of knowledge based system
T3 – ALGORITHMS
Design and development of applications in the Java language under LINUX
respecting the principal concepts seen in the course “Algorithms”.
E7 – UML
Modeling, UML diagrams in general
Class diagrams in practice, Activity diagrams
Associated tools
T4 – OBJETCS
Oriented Object design and application development in Java language under
Linux using mechanisms presented during the class “Object Oriented design”.
E5 – COMPUTER ARCHITECTURE
Design of a calculating unit
Memory design
Machine language
Interrupts/Communication
Memory management
Processes
Introduction to UNIX and Linux
Description of the essential components of the architecture of a
computer and its operating system.
T19 – MULTI TASKING
Study of the multi-tasking architecture of Linux
E8 - DATA BASES
What is a Data Base Management System?
Model entity –association, Relational Model – Standardization
Query language – Introduction to SQL
T5 - SQL
Creation of a database under Access, starting from a real case. Query using
SQL requests
T6 - XML
Discovery of XML structure and associated technologies

MODELS SIGNALS AND SYSTEMS
E13 - DESIGN AND METHODOLOGIES ANALYSIS
Structured approach:
Activities and data,
Data flow diagrams,
Data dictionaries,
The author-reader cycle.
Process oriented approaches:
Conceptual models of data activities and processes
Organizational models of data and processing
Analysis and design of the 3 components of a production system:
operational system, decision system, and information system.
T20 – SYSTEM ANALYSIS
Re-engineering of production systems
T22 – REAKTIK (business game)
P2 – DESIGN OF INFORMATION SYSTEMS
In an industrial framework, we study the design of various processing models
(conceptual, organizational and operational) and the corresponding data
models. The emphasis is laid on methodological aspects and on project
control by using a suitable software workshop and by elaborating various
scenarios of computerization. One of the characteristics will be the definition
of sub-projects coordinated within each group of students.
E1 - CONCEPTUAL APPROACH OF SYSTEMS
Concept of a system - Theory of operators
Space and temporal behavior of systems
Principles of projection - Application to regression
Models and structures: matrix approach, Dirac, impulse and index
responses, graphs...
Convolution operators,
Fourier and Laplace operators.
Modeling, simulation and control of linear and stationary systems
Decomposition of a system into continuous linear stationary
subsystems
Basic concepts of signals: sampling, filtering, spectral analysis...
Basic concepts of the process control: stability, loops, timeconstants,
adaptation, prediction, and modal control...
T7 – SYSTEM MODELING
Structural decomposition and dynamic modeling of a production system.
E11 – PROBABILITIES AND STATISTICS
Distributions and probability laws, Random variables and moments
Estimation (maximum likelihood, robust estimation, regression)
Hypothesis tests
T16 – PROBABILITIES AND STATISTICS
Probabilistic modeling of notation system (hypothesis tests, adequacy tests,
evaluation of probabilities, analysis of a sample, Matlab programming)
MANUFACTURING PROCESSES
E17 – NUMERICAL CONTROL
Structure of machines – ISO Language
Control unit structure
CN sequence chain
T10 - NUMERICAL CONTROL
Operation and implementation of a machine
Simulation of a lathe engine (trajectory tracking)
Simulation of 3D milling (LICN)
P3 – Experimental design
P4 – MANUFACTURING ANALYSIS -
Manufacturing ranges
Isostatism
Cut parameters
T13 – CUTTING
Lifespan of tools, economic consequences
Influence of cutting conditions on roughness
MECHANIC
E16 – MECHANICAL PROPERTIES OF MATERIALS
This course aims to describe and explain the principal mechanical properties
of the large material classes as well as to present a method of material
selection for precise applications. The principal developed topics are:
The microscopic nature of materials
Plastic strain of materials
Fracture of materials
Material selection: method of the performance indices applied to
real cases
Mechanical properties of metals (steel, cast iron, aluminum alloys),
of polymers (thermoplastics, thermosets, elastomers), of
composites and of ceramics
T12 – MATERIAL SELECTION, CHARACTERIZATION TESTS
Composite approach
Characterization of a material by mechanical tests
Material selection
E19 – STRENGTH OF MATERIALS
Constraint modeling under simple loads,
Static balance and torque of mechanical actions,
Beam model,
Stress tensors and resistance criteria,
Strain tensors
Constitutive laws,
Bending deflection
E20 – DESIGN AND FIABILITY OF MECHANICAL SYSTEMS
Introduction to design and to CAD
Modeling of mechanical systems (static, dynamic, fatigue...)
Study of bearings
Modeling of complex mechanisms. Basic elements of mechanical
design
P5 – MANUFACTURING MACHINES DESIGN
T14 – MECHANICAL SYSTEM ANALYSIS
T21 - FIABILITY
THE MAN AND THE COMPANY
E21 – ENTERPRISE AND FINANCIAL DIAGNOSIS
T15 – POWER 7
Training of the methods for resolving a problem within a company
Quality tools
Methodologies of problem resolution
LINGUISTIC AND SPORT ACTIVITIES
E22 COMMUNICATION PRACTICE
To become aware of the various communication channels
To explore one’s private means and one’s limits and to train oneself to
overcome them
To question one’s own participation in a group
To include/understand the steps in social sciences
Joint project through theatre
E23 - ENGLISH + intensive week
E24 - SPORTS
BIBLIOGRAPHY

4 TH YEAR
COMPUTER SCIENCES
E8 – DATA ANALYSIS
1. Data
Characteristics: origin, quality, coding
Preparation: restoration, filtering, synchronization, construction of classes
Dependence: distances, ultra metric, correlation
2. Tools:
Descriptive methods: principal components analysis, correspondences,
preferences
Explanatory methods: regression, segmentation, canonical analysis,
discriminated analysis
Structural methods: ultra metric and hierarchical classification, dynamic
swarms.
3. Analysis:
Analysis methodologies
Interpretation rules
Case studies
E16 – DATA WAREHOUSE
Management of the technical data of a project,
Charter of development and design process,
Constraints and specifications for the management of the technical
data,
Smarteam as tool of implementation,
Application CATIA-SMARTEAM
P2 – DATA WAREHOUSE
TDR – NETWORKS
E18 - NETWORKS
P1 – INDUSTRIAL NETWORKS
Implementation of industrial local area networks
Interfacing with general networks
Communication within heterogeneous equipment (robot, MOCN…)
E3 – HUMAN-COMPUTER INTERACTION
Portability of graphical applications
Models and methodology of interface design
Architectures of UI management systems
Interactivity and modern interfacing environments
Multi-modal communication
Ergonomics and human dimensions of UID
UID = vector of transfer of knowledge
UID and production
PRODUCTION MANAGEMENT
E5 – PRODUCTION MANAGEMENT: BASICS
Introduction to technical data
Introduction to production management: Notion of thorough flow,
the various levels of decision: PIC, MPS, MRP, scheduling, basic
elements of stock management
Introduction to production management methods (Kanban, Kaisen,
TOC, SMED, TPM, …)
E6 – PRODUCTION MANAGEMENT: COMPLEMENTS
Information systems: from production management to supply chain
management, CAM, ERP (integrated system for company management),
implementation steps of an ERP
Workshop scheduling (single machine, parallel machines, flow shop, job
shop, hybrid organizations), project scheduling (PERT,)
Forecasting methods
T1 - PRELUDE
P6 – DESIGN OF PRODUCTION SYSTEMS
Preliminary analysis
Design of production systems
Dimensioning of a production system.
Decision support for system control
P4 – SCHEDULING AND FLOW MANAGEMENT
Study of the implementation of scheduling software. Considering a
company which decides to modify its scheduling system:
Study of the technical data, calculation of the operational duration
and the estimated loads (personnel and equipment), and technical
data bases (operations, resources, operation times, product
ranges, work order...).
Study of the effects of the choice of sequencing heuristic, as well
as the influence of the work periods (calendar)
Study of the coherence of the operators’ work schedules and of the
harmonization solutions
How to take into account constraints (storage capacity,...) and risks
(breakdown of a machine,...)
Technical and financial analysis and evaluation of scheduling
software
P5 – ERP – PRODUCTION MANAGEMENT AND PLANNING
Presentation of the ERP software SAP R/3 (structure, concepts,
applications),
Discovery of SAP R/3
Guided tour of the Production-Planning module: master data,
customer order management process, various business processes
manufacturing planning and execution (forecasting, sales and
operation planning demand management, MRP, order
management).
Development of new cases of business process (functional
parameterization).
DECISION SUPPORT AND AUTOMATION
E1 – AUTOMATION
Introduction to automation
Automated systems of production (functionalities, uses) project of
automation (tools and methods of design, programming)
Industrial local networks
E4 – MES
An MES (Manufacturing Execution System) is an information
system for production workshops. This recent concept makes it
possible to establish the link between planning (CAM, ERP) and
control (supervision, control).
The objective of this course is to present:
Industrial needs,
The functionality brought by a MES (standards),
Impact of MES and return on investment,
Tools and methods of MES design,
The installation of a MES project, industrial solutions.
P3 - MANUFACTURING EXECUTION SYSTEMS (MES)
Considering a real manufacturing unit:
Study of the functions which the information system must provide: tractability,
quality management, production follow-up
Specification and realization of the system architecture
Implementation and testing of this production unit
P8 – AUTOMATION PROJECT
E7 –DECISION SUPPORT
Principals of the simplex algorithm
Problem modeling by linear programs
Sensitivity to constraints and marginal costs
Optimization in networks
Modeling of production problems as systems of linear equations
and usage of the simplex algorithm as a decision tool.

E10 – RELIABILITY
Concepts of reliability (terminology, mistakes, error, failure)
Average indicators MTTF, MTTR and MTBF, instantaneous
indicators
Reliability, maintainability, availability, safety,…
Reliability program
AMDEC, failure trees, state graphs
E12 – QUALITY AND MAINTENANCE
Quality:
Justification of quality in companies
Definition of quality and consequences
Steps: from quality control to total quality
Organization and operation of a quality system: reference frame
ISO 9000.
Maintenance:
Basic concepts of the behavior concerning materials,
Maintenance politics,
Maintenance organization and management,
Overview of maintenance tools,
Links with quality processes.
THE MAN AND THE COMPANY
E14 – FINANCIAL FLOWS AND MANAGEMENT CONTROL
Financial mechanisms: cycles of a company, financial flows and formation of
the needs of financial exploitation. These aspects are taught using a case
study of a company creation. Indicators of activity, results and performance:
Interpretation analysis, financial dashboard
E15 – STRATEGIC ANALYSIS OF AN ORGANISATION
Observation and internal strategic analysis, Integration of the technical,
economical and socio-organizational aspects
Personal integration reinforced by contacting, necessary for targeted location
Identification of human and social aspects for the future engineering missions
PROJECT MANAGEMENT
E11 – PROJECT MANAGEMENT
Project management
Requirements analysis
Technical aspects
P7 – COLLECTIVE PROJECT MANAGEMENT
INDUSTRIAL INTERNSHIP
LINGUISTIC AND SPORT ACTIVITIES

5 TH YEAR
THE MAN AND THE COMPANY
E1 – MANAGEMENT OF HUMAN RESOURCES
Consolidation of the previous training in management. Introduction to the
management of human resources and social relations. Reinforcement of
one’s listening abilities and of the knowledge in interpersonal communication,
also in new cultural contexts.
Management and human resources: team work and informationcommunication;
management roles and styles; principles and tools of HR
(recruitment, evaluation and competence management, remuneration, career
management, etc.); motivation and change management. Social relations and
employment contracts: social dialogue, IRP, trade-union organizations and
collective bargaining; collective agreements; elements of labor law.
Intercultural management.
E2 - CORPORATE SOCIAL RESPONSABILITY
SUSTAINABLE DEVELOPMENT
E4 – IES ECONOMICAL INTELLIGENCE AND STRATEGY
The purpose of the Economical Intelligence and strategy is a process, its
training is continuous. This class intends to provide keys of entry to clarify the
strategic decision-making by replacing the organization within the dynamics of
its environment. It is based on the 3 approaches of the predictive I.E
(identification of opportunities), preventive (protection of the knowledge and
know-how) and Influences (action on the environment).
ADVANCED ENGINEERING TECHNICS
E8 – SUPPLY CHAIN AND IMPLEMENTATION OF PRODUCTION
SYSTEMS
This course aims at providing both the fundamental concepts and the
methods for the organization of logistic chains as well as the basic tools for
the implementation of production systems. For the logistic part, the following
concepts are developed:
The general concept of logistic chains and methods; Modeling of logistic
chains, performance indicators,
Strategic choices, decisions to make or to let-make, choice of suppliers,
Transport, organization of a distribution network, organization of delivery
rounds, distribution network,
Fundamental concepts of SCM, information technology, optimization tools for
the logistics network
Localization problems.
For the implementation part of the production system, the following concepts
are developed:
Organization of a production workshop, models of machine lay out,
Implementation model of assembly lines, design of manual assembly stations,
chain balancing,
Production cells and methods of group technology
Inter workshop transport, storage systems
Lay out methods and implementation of the system,
Implementation of data-processing tools,
System evaluation and performance measurement
E11 – PURCHASING
The definition of the need, the "make or buy"
The suppliers: traceability of the relations between the company and her
suppliers; choice of suppliers; the negotiation, contractualization; the delivery
service; improvement of the purchases politic
E15 – ERGONOMY
E3 – LEAN
Appreciate lean as a way of management
Use VSM to identify and eliminate the waste,
Develop the skills necessary to
See the flow of a value stream and to create a future state map
E9 - CONTROL - SUPERVISION
Control in an MES environment
Reactivity ensured by monitoring and supervision models
Criteria selection of industrial supervisors
E13 – MAINTENANCE ASSISTED BY COMPUTER
E6 – ANALYSIS AND DESIGN OF PRODUCTION CONTROL SYSTEMS
Classification of control problems,
Various approaches to resolve control problems (exact algorithms,
construction methods, model changing methods, decomposition approaches,
neighborhood reach)
Control of goods and services systems,
Control of human and material resources
E10 – PLANIFICATION OF HUMAN RESOURCES
Classification of the problems of quantitative management of human
resources,
Forecasts of the loads in human resources,
Definition of manpower (staffing),
Calculation of cyclic and noncyclical scheduling, rotations,
Definition of timetables
Multi-criteria optimization methods (predominance, electre, Pareto
Border).
Stochastic optimization methods (simulated annealing, TABOO,
genetic algorithms)
ELECTRE I and II methods
PROMETHEE I and II methods
FINAL PROJECT ASSIGNMENT
INDUSTRIAL PROJECT
SPORT
LANGUAGE