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D
EFINE
C
ONTROL
I
MPROVE
Choice of relevant quality indicators to monitor
A
NALYZE
Searching the
sources
de
of variability
(Ishikawa)
M
EASURE
1. Verification of the measurement system ‘s
capability
2.
Characterization of the data distribution
A
NALYZE
Reduction
of variability
Target
?
Monitored parameter
Data (chronological order)
(5 WHY, Design of Experiments)
Part 1
:
Introduction to
SPC
Part 2
:
Essential
concepts to
start with SPC
Part 4
Conclusion
Part 3
:
SPC in
practice
3. Observation of the process
Building a control chart without limits
Choice of control charts and calculation of control limits
Calculation of the process
performance
indicators
Process monitoring using control charts
Is the process ‘under control’?
Detection of special causes
Optimization of the process, maintain the gain
Reduction of the frequency of controls?
C
ONTINUOUS IMPROVIEMENT
2. Introducing a SPC analysis: DMAICS method*
* From a Six sigma approach
14
S
TANDARDIZE
03/10/17