Statistic Process Control tools
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STATISTIC PROCESS CONTROL
TOOLS
PARETO DIAGRAM
CONCEPT
PARETO Chart is a Column Chart and Line Chart
• (BAR CHART & LINE CHART ) Ordered from High to Low
• => Convenient for Identifying PRIORITY ISSUES that need to be
solved first.
• => HELP TO SOLVE MAXIMUM PROBLEMS WITH THE MOST
LIMITED COST
FUNCTION
Used to definition problem, how to disclaimer, collect data
How to build a Pareto Chart:
Data tablets & data collection
Order data or description
Calculate number of accumulations (progression) rate %, %
accumulations
Drawing chart
Identifying the major issues (80/20)
EXAMPLE
EXAMPLE
FISH BONE DIAGRAM
CONCEPT
• CAUSE AND EFFECT DIAGRAMS ALSO HAVE A NAME OF FISH BONE OR
ISHIKAWA DIAGRAMS
• CAUSE MAP IS A TOOL FOR BRAINSTORMING, FINDING AND
ANALYZING THE RELATIONSHIPS BETWEEN RESULTS AND POTENTIAL
CAUSES
• (MAIN CAUSE AND AUXILIARY CAUSE)
HOW TO BUILD FISH BONE DIAGRAM
• STEP 1: DETERMINATE THE PROBLEM NEED TO ANALYZE
• STEP 2:WRITE MAIN PROBLEM ON THE RIGHT AND DRAW MAIN
BONE
PROBLEM
HOW TO BUILD FISH BONE DIAGRAM
• STEP 3: DETERMINE MAIN CAUSES
INFORMTION
METHOD
MAN
PROBLEM
ENVIRONMENT
MACHINE
MATERIAL
HOW TO BUILD FISH BONE DIAGRAM
• STEP 4: DETERMINE AUXILIARY CAUSES
INFORMATION
METHOD
MAN
PROBLEM
ENVIRONMENT
MACHINE
MATERIAL
HOW TO BUILD FISH BONE DIAGRAM
• STEP 5: DISCUSS & CHECK OTHER POTENTIAL CAUSES.
• STEP 6: HIGH LINE IMPORTANT CAUSES
HOW TO BUILD FISH BONE DIAGRAM
INFORMATION
METHOD
MAN
PROBLEM
ENVIRONMENT
MACHINE
METARILAL
HOW TO BUILD FISH BONE DIAGRAM
• STEP 7: COMPLETE FISH BONE DIAGRAM - PERFORMANCE
BRAINSTORMING TO FIND MEASURES TO CONTROL CAUSES. ORDER
OF PRIORITY FROM MOST IMPORTANT CAUSES TO NEXT IMPORTANT
CAUSES
Measurement
Human
Incorrect specifications
Improper methods
Inaccurate
temperature
control
Out of adjustment
Poor supervision
Faulty testing equipment
Machines
Lack of concentration
Tooling problems
Inadequate training
Old / worn
Quality
Problem
Defective from vendor
Not to specifications
Poor process design
Ineffective quality
management
Dust and Dirt
Materialhandling problems
Environment
Materials
Deficiencies
in product design
Process
CONTROL DIAGRAM
CONTINUOUS
DISCRETE
NUMBER OF DEFECT
DEFECT PROPOTION
X Bar-R Chart
Xbar-R Chart of Ob 1, ..., Ob4
Sample Mean
78.3
UC L=78.2990
78.2
_
_
X=78.124
78.1
78.0
LC L=77.9490
77.9
1
3
5
7
9
11
13
15
17
19
21
23
25
Sample
0.60
UC L=0.5482
Sample Range
0.45
0.30
_
R=0.2403
0.15
LC L=0
0.00
1
3
5
7
9
11
13
Sample
15
17
19
21
23
25
I-MR Chart
I-MR Chart of Sample 1
UCL=120.66
Individual Value
120
110
_
X=99.16
100
90
80
LCL=77.66
1
3
5
7
9
11
13
15
17
19
21
23
25
Observation
30
Moving Range
UCL=26.41
20
__
MR=8.08
10
0
LCL=0
1
3
5
7
9
11
13
Observation
15
17
19
21
23
25
P Chart
P Chart of Bruised
0.28
0.26
UCL=0.2459
0.24
Proportion
0.22
_
P=0.193
0.20
0.18
0.16
0.14
LCL=0.1401
0.12
0.10
1
3
5
7
9
11
13
Sample
Tests performed with unequal sample sizes
15
17
19
21
23
25
NP Chart of Số lượng hư
nP Chart
45
UCL=43.09
40
Sample Count
35
30
__
NP=28.10
25
20
15
LCL=13.12
10
1
4
7
10
13
16
Sample
19
22
25
28
U Chart of Bruised
U Chart
70
Sample Count Per Unit
UCL=62.99
60
_
U=48.25
50
40
LCL=33.51
30
1
3
5
7
9
11
13
Sample
Tests performed with unequal sample sizes
15
17
19
21
23
25
C Chart of Bruised
C Chart
55
UCL=50.91
50
Sample Count
45
40
_
C=33.53
35
30
25
20
LCL=16.16
15
1
4
7
10
13
16
Sample
19
22
25
28
