Quality - KAEL9M08

  • Number of hours

    • Lectures -
    • Projects -
    • Tutorials 15.0
    • Internship -
    • Laboratory works -
    • Written tests 1.0

    ECTS

    ECTS 0.5

Goal(s)

  • Understand the need for customer focus within the company.
  • Know how to implement the main Quality tools.
  • Know the essentials of quality methodologies.
  • Discover the practical aspects linked to manufacturers' liability for defective products.

Content(s)

1. What is Quality?

  • Quality Definition
  • Voice of customer
  • Customer satisfaction and loyalty
  • COQ Cost of Quality
  • Process approach

2. Quality tools for continuous improvement

  • Data collection & analyze
    • data collection plan
    • prioritization matrix
    • frequency plot
    • Chronological plot
    • Pareto chart
    • Cause and effect diagram
    • FMEA ( design, process, means)
  • Statistical process control
    • Sampling
    • Statistical process control

3. Continuous Improvement

  • Six Sigma methodology (DMAIC approach)
  • Quality management system
  • Quality management, the eight principles
  • Quality excellence approaches

4. Defective products: requirements

  • Legislation: manufacturer liability about defective products

Prerequisites

  • Properties of Normal distribution
  • Basic statistics

Test

30% CC + 70% final exam

Final exam conditions

  • 1 written test – 1h
  • none documents
  • PC, laptop, calculator, mobile phone, telephone and smartwatch forbidden
  • Third time: same duration with score * 1.33

Calendar

The course exists in the following branches:

  • Curriculum - E2I - Semester 9

Additional Information

Course ID : KAEL9M08
Course language(s): FR

You can find this course among all other courses.

Bibliography

Livres et ouvrages

  • Appliquer la maîtrise statistique des procédés MSP/SPC, M. Pillet, Editions d’Organisation
  • L’entreprise orientée processus, P. Mongillon et S. Verdoux , AFNOR
  • Qualité en production, D. Duret et M. Pillet, Editions d’Organisation
  • Méthodologie d’analyse processus, Schneider Electric