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1
Introduction
to Quality
A Brief History
An Operational of
Quality
2
Data and Statistics
Time, Shape, Spread and
Location
Describing Data
Graphically
Run
Charts
Histograms
Describing Data
Numerically
Measures
of Location
Measures
of Variability
Populations
and Samples
The
Normal Distribution and Z Scores
Mesaure
of Shape
3
Process Variation
Processes
Variation
Product versus
Process Control
Process Dominance
Quality Control of
Technologies
4
Statistical Process Control Charts
Development of a
Process Control Chart
Step 1: Select a Characteristic
Step 2: Select the Sampling Plan
Step 3: Select the Chart Type
Step 4: Collect Data
Step 5: Calculate Sample Statistics
Step 6: Calculate Centerline(s)
Step 7: Calculate Control Limits
Step 8: Plot the Control Chart(s)
Step 9: Assess Process Control
Step 10: Assess Process Capability
What to Do When a Process Is Not Capable
5
X-bar and Range Charts
Introduction
The Case of the Shaft
Outside Diameter
Conclusions
Limits
and Spesifications
6
X-bar and s Charts
Introduction
The Case of the
Electronic Assembly Voltage
Conclusions
7
Individuals and Moving Range Charts
Introduction
Chart
Sensitivity
Distribution
Shape
Relationship
between Successive Points
The
Case of Chrome Plate Tank #6
Conclusions
Other Notes on the Individuals
and Moving Range Chart
8
P Charts
Introduction
The Case of the Wound
Coil Resistance
Conclusions
9
NP Charts
Introduction
The Case of the Chain
Saw Bars
Conclusions
10
C Charts
Introduction
The
Case of the #12 Insulated Wire Supplier
Conclusions
11
U Charts
Introduction
The
Case of the Incoming Ceramic Substrates
Conclusions
12
Strategies
Team
Commissing
Problem-Solving
Strategy
Eliminating Chronic Problems
Quality
Improvement Strategy
Team
Decommissioning
13
Final Thoughts
Control
Charts Are Not the Goal
Nothing
Magical Really Happens
Online
versus Offline
Address
Basics
Remember
Other Technologies Exist
Control
Chart PDCA
Further
Knowledge of Statistical Methods
SPC Training
Using
Computers in SPC
In
Conclusion
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