Pagora rubrique Formation 2022

Process statistical control - 5FMT1085

  • Number of hours

    • Lectures 4.5
    • Projects -
    • Tutorials -
    • Internship -
    • Laboratory works -
    • Written tests 1.5

    ECTS

    ECTS 27.0

Goal(s)

Learning outcomes :

  • To calculate long-term, short-term, dispersion, decentralization and process capabilities
  • To calculate their estimators
  • To establish a card of process control
  • To diagnose process control losses
  • To draw different control cards with Minitab software

Responsible(s)

Agnes BOYER

Content(s)

Presentation of the notion of statistical control of processes and the associated tools in order to allow their use in the monitoring of production indicators. The course is based on the notion of the capability of processes and control charts.

The teaching form is an APP. It focuses on a technique of process control that is part of a broader approach ofquality research.
The concepts presented are based on statistical analysis of sample collected during production and on the conclusions that can be drawn.
The concepts of process or machine capabilities are discussed as well as the control maps, to monitore in an "on-line" and visual method the quality of the process products.

Capability Concept
Intrinsic capability and process machinery Cm Cp
Index Cmk machine setting process and Cpk
Centering and yield stability
performance characteristic / normal or not distributions / bilateral or unilateral specifications
Capabilities in the standard Ford / capability according Taguchi

Control charts
Control cards mean and dispersion (standard deviation, range)
Control charts for attributes (np, p, c, u)
Other cards: EWMA, CUSUM, individual cards I MA, MR

Targeted skills: process and system management, solution development, team management

Prerequisites

Statistics course given in the first year.

Accessibilité des personnes en situation de handicap : nous consulter

Test

Evaluation of group work: 3 problem solving (mark N1)
individual examination (mark N2)
can be made up for on the individual examination part

N=(N1+N2)/2

Calendar

The course exists in the following branches:

  • Curriculum - Master Bio2 - Semester 9
  • Curriculum - Pagora Engineer - Student - Semester 9
  • Curriculum - Pagora Engineer - Apprentice - Semester 9
see the course schedule for 2022-2023

Additional Information

Course ID : 5FMT1085
Course language(s): FR

You can find this course among all other courses.

Bibliography

Techniques de l'ingénieur : chapitre r290
Ouvrage :
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