Quality and process control - KAMA8M16

Goal(s)

The objective of this course is to address the various aspects related to the implementation of a process control system in an industrial environment in order to approach the main statistical tools from an operational perspective.
The implementation of an effective process control system at both the industrial and research and development levels can have a very significant impact in the following areas:
- Learning and production cycle time
- Development and manufacturing costs
- Manufacturing and finished product yield.

Content(s)

1 Introduction to process control in industrial environments
1.1 Process control concept and industrial profitability or R&D.
1.2 General overview of a process control system.
1.3 Quality, Variability, and Process Control.
2 Analysis tools and performance indicators
2.1 Variability analysis
2.2 "Capability" of a process
2.3 The specific case of metrology
2.4 The influence of the means of control on capability.
2.5 The influence of the measurement plan
3 Statistical methods and tools used
3.1 The main types of control charts and how they are used.
3.2 Calculation and management of control limits.
4 Process control within a quality system
4.1 Risk management and associated methods
4.2 FMEA (FMECA) & Method 8D
5 Outlook
Process control at the source of drifts: FDC

Basic statistical concepts (mean, standard deviation, normal law, estimation and hypothesis tests)