Quality Tools
Quality Improvement: Problem Solving
Quality Control Tools
• Pareto chart
• Histogram
• Process flow diagram
• Check sheet
• Scatter diagram
• Control chart
• Run chart
• Cause and effect diagram
Quality Improvement: Problem Solving
Pareto Principle
Vilfredo Pareto (1848-1923) Italian
economisti t
• 20% of the population has 80% of the
wealth
Juran used the term “vital few, trivial
many”. He noted that 20% of the quality
many
problems caused 80% of the dollar loss.
7 Quality Tools
Quality Improvement: Problem Solving
Pareto chart
30
28
% Complaints
s
2
25
20
16
15
12 12
10
6
5 4 3
0
Loose Stitching Button Material
Threads flaws problems flaws
7 Quality Tools
Quality Improvement: Problem Solving
70
(64)
60
Pareto
Percent from each cause
Chart
50
40
30
20
(13)
(10)
10 (6)
(3) ((2)) ((2))
0
Causes of poor quality
Quality Improvement: Problem Solving
Histogram
25
20
Frequency
15
10
0
.9
.9
.9
.9
.9
.9
9
9
9
9
9
9
9
9
9
e
1.
2.
3.
4.
5.
6.
7.
8.
9.
or
10
11
12
13
14
15
M
Category
7 Quality Tools
Quality Improvement: Problem Solving
Histogram
40
35
30
25
20
15
10
5
0 1 2 6 13 10 16 19 17 12 16 20 17 13 5 6 2 1
Quality Improvement: Problem Solving
Flowcharts
Flowcharts
• Graphical description of how work is done.
• Used to describe processes that are to be
improved.
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Quality Improvement: Problem Solving
Flow Diagrams
" Draw a flowchart for whatever you do.
U til you d
Until do, you d
do nott kknow what
h t you
are doing, you just have a job.”
-- Dr. W. Edwards Deming.
Quality Improvement: Problem Solving
Flowchart
Activity
Yes
Decision
No
7 Quality Tools
Quality Improvement: Problem Solving
Flowchart
Quality Improvement: Problem Solving
Flow Diagrams
Quality Improvement: Problem Solving
Flow Diagrams
Quality Improvement: Problem Solving
Process Chart Symbols
Operations
Inspection
Transportation
Delay
y
Storage
Process Chart
Date: 9-30-00 Location: Graves Mountain
Analyst: TLR Process: Apple Sauce
Distance
Operattion
port
Description
ge
ect
et)
n)
me
ay
Storag
(min
Step
p
Tim
Transp
(fee
Inspe
Dela
of
process
1 Unload apples from truck 20
2 Move to inspection station 100 ft
3 Weigh, inspect, sort 30
4 Move to storage 50 ft
5 Wait until needed 360
6 Move to peeler 20 ft
7 Apples peeled and cored 15
8 Soak in water until needed 20
9 Place in conveyor 5
10 Move to mixing area 20 ft
11 Weigh, inspect, sort 30
Page 1 0f 3 Total 480 190 ft
Quality Improvement: Problem Solving
Quality Improvement: Problem Solving
Check Sheet
Shifts
√√√ √√√√ √ √√√
Deffect Type
√√ √√√
√√√√ √√√
√√ √
7 Quality Tools
Quality Improvement: Problem Solving
Check Sheet
COMPONENTS REPLACED BY LAB
TIME PERIOD: 22 Feb to 27 Feb 1998
REPAIR TECHNICIAN: Bob
TV SET MODEL 1013
Integrated Circuits ||||
Capacitors |||| |||| |||| |||| |||| ||
Resistors ||
Transformers ||||
Commands
CRT |
Quality Improvement: Problem Solving
Cause--and
Cause and--Effect Diagrams
Show the relationships between a
problem
bl and
d itits possible
ibl causes.
Developed by Kaoru Ishikawa (1953)
Also known as …
• Fishbone diagrams
• Ishikawa diagrams
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Quality Improvement: Problem Solving
Cause and Effect
“Skeleton”
Materials Procedures
Quality
Problem
People Equipment
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Quality Improvement: Problem Solving
Fishbone Diagram
Measurement Human Machines
Faulty testing equipment Poor supervision Out of adjustment
Incorrect specifications Lack of concentration Tooling problems
Improper methods Inadequate training Old / worn
Quality
Inaccurate Problem
temperature Poor process
control Defective from vendor
design
Ineffective quality
p
Not to specifications management
Dust and
Dirt Material- Deficiencies
handling problems in product
design
Environment Materials Process
Quality Improvement: Problem Solving
Cause and effect diagrams
Advantages
• making the diagram is educational in itself
• diagram demonstrates knowledge of
problem solving team
• diagram results in active searches for
causes
• diagram is a guide for data collection
Quality Improvement: Problem Solving
Cause and effect diagrams
To construct the skeleton,, remember:
For manufacturing - the 4 M’s
9 man, method, machine, material
For service applications
9 equipment,
equipment policies procedures
policies, procedures, people
Quality Improvement: Problem Solving
Scatter Diagram
Quality Improvement: Problem Solving
Run Charts
Run Charts (time series plot)
• Examine the behavior of a variable over
time.
• Basis for Control Charts
Quality Improvement: Problem Solving
Control Chart 27
24
UCL = 23.35
21
Number of defects
18 c = 12.67
15
12
6
LCL = 1.99
3
2 4 6 8 10 12 14 16
Sample number
Quality Improvement: Problem Solving
Control Charts
Quality Improvement: Problem Solving
“Stem and leaf” displays
Data
Integrated Circuit Response Time (ps)
4.6 4.0 3.7 4.1 4.1 5.6 4.5 6.0 6.0 3.4
3.4 4.6 3.7 4.2 4.6 4.7 4.1 3.7 3.4 3.3
3.7 4.1 4.5 4.6 4.4 4.8 4.3 4.4 5.1 3.9
Quality Improvement: Problem Solving
“Stem and leaf” displays
Integrated Circuit Response Time (ps)
3 7 4 4 7 7 4 3 7 9
4 6 0 1 5 6 2 6 7 1 1 5 6 4 8 3 4
5 6 1
6 0 0
Quality Improvement: Problem Solving
Dot diagrams
Integrated Circuit Response Time (ps)
3 4 5 6
Plant A
Plant B
Quality Improvement: Problem Solving