Number of hours
- Lectures 30.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 6.0
- Written tests 3.0
ECTS
ECTS 3.0
Goal(s)
The SIE Master program leans on the knowledge triangle Education-Research-Innovation.
It is designed to cover the whole value chain and lifecycle of product and service, from Innovation draft, to Distribution, in an international context. It aims at tackling the key issues that are sustainable manufacturing industry, innovation, and sustainability.
This course is focused on Quality & Process Development domains with the overall scope:
- To introduce how quality & process development can participate to support:
o Integrating:
**complex industrial constraints and new technologies
**decisions taken at different levels of management to support agility,
o By this way, how it allows faster development time for:
**new products and processes,
**better design to manufacturing efficiency and product quality at reduced development costs. - Learning Outcomes:
o Understand the key challenges of Manufacturing Science.
o Master the key concepts and challenges linked to:
**process development and design for manufacturing
**quality methods & tools.
o Ability to:
**use Quality concepts and tools in an advanced industrial engineering and/or a manufacturing context.
**practice Industrial Engineering as a transversal key resource from design to manufacturing.
Content(s)
Title: Quality & Process Developement
Course:
Part 1: Introduction to Quality & process Controls Domains
Part 2: Quality
Part 3: Advanced Process Control
Part 4: Data (Collection & Quality)
Exercice session (TD)
Part 1 to 4 Application : Quality, Measure capability, process capability, control charts.
Course:
Part 5: Risk & Knowledge Management
Application session (TP):
Part 5 application: Risk & Knowledge Management use case (Equipement Maintenance Dynamic knowledge management) perfomed in cooperation with "Industrial Information Systems" module.
Course
Part 6: Design of Experiments (DOE)
Part 7: Course review and analysis true publication lectures performed by students on the following subjects: Quality & process control domains, Manufacturing Science, SPC, Data quality, Risk & Knowledge management, DOE.
Part 8: Industrial sites visits and associated reports.
Bachelor level in technology (mechanical engineering, electrical engineering, automation…)
Continuous assessment (CC) : Home work and Exam.
E1 = Final oral or written exam from the 1st exam period
E2 = Final oral or written exam from the 2nd exam period
N1 = Final mark from the 1st exam period
N2 = Final mark from the 2nd exam period
N1 = 10% --> FACTORY VISIT REPORT 10%
N2 = 30% --> COURSE REVIEW PUBLICATION LECTURE
N3 = 30% --> Risk & Knowledge Management use case (Equipement Maintenance Dynamic knowledge management) perfomed in cooperation with "Industrial Information Systems" module
N4 = 30% --> Final exam
The course exists in the following branches:
- Curriculum - - Semester 7 (this course is given in english only )
- Curriculum - Master 1 GI SIE program - Semester 7 (this course is given in english only )
Course ID : WGUS2054
Course language(s):
You can find this course among all other courses.
Books
[1]An introduction to innovative Design. Element and application of C-K Theory. Edition Presse des Mines. Marine AGOGUE, Sophie HOOGE, Frederic ARNOUX, Ingi BROWN
[2]Strategic Management of Innovation and Design. Pascal Le Masson, Benoît Weil, Armand Hatchuel. Cambridge Ed.2010
[3]SPEARMAN (M.L.) et HOPP (W.J.)– Factory physics, second edition, chap 8 and 9.Ed. Mc Graw Hill (2000).
[4]MONTGOMERY (C.D.) (s.d.)– Introduction to statistical Process Control. Ed. John Wiley
and Sons, Inc.
Journals & publications:
a) C-K THEORY IN PRACTICE: LESSONS FROMINDUSTRIAL APPLICATIONS. A. Hatchuel, P. Le Masson and B. Weil. INTERNATIONAL DESIGN CONFERENCE - DESIGN 2004. Dubrovnik, May 18 - 21, 2004.
b) A NEW APPROACH OF INNOVATIVE DESIGN: AN INTRODUCTION TO C-K THEORY. Armand Hatchuel and Benoît Weil. INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN ICED 03 STOCKHOLM, AUGUST 19-21, 2003.
c)CAN C-K THEORY APPLY TO KBE (KNOWLEDGE BASED ENGINEERING) SYSTEMS? Alaeddine ZOUARI,Michel TOLLENAERE, Habib BEN BACHA,Aref Younes MAALEJ, IJPLM 2007.
d)Journal of Quality Technology.
e)ISOTS Norms.
f)A review of Methods for Measurement System Capability Analysis - Richard K. Burdick, Connie M.Borror, and Douglas C.Montgomery.Journal of Quality Technology, Vol 35, N°4, October 2003.