คู่มือ minitab 15
DESCRIPTION
คู่มือ minitab 15TRANSCRIPT
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---------------------------------------------------------------------------------------------------------------------------------------------------------------- 1 Minitab Quality Process Improvement
Introduction to Minitab 15
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Minitab
Minitab
Minitab
Start > All Programs > Minitab Solutions > Minitab 15 Statistical Software English 2 Minitab
Session (text) Minitab
Data (Spreadsheet)
(Minitab Project)
C:\Program Files\Minitab 15\English\Sample Data ( 15) C:\Program Files\MINITAB 14\Data ( 14)
RADON.MTW 1. File > Open > Worksheet 2. Look in Minitab Sample Data folder
Session
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- Look in Minitab Sample Data folder C:\Program Files\Minitab 15\English\Sample Data - Minitab (default)
Tools > Options > General 3. RADON.MTW Open Do not display this
message again OK 4. RADON.MTW Open Do not display this
message again OK
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(Variables)
Minitab 3 , /
C1 (Center) : C2 (Order) : C3 (Arrival ) : C4 (Days) : C5 (Status) : (On time Back order
Late 6 ) C6 (Distance) :
Enter Enter Alt + D Alt D File > Exit Exit File Stat > Quality Tools > Run Chart Stat Quality Tools
Run Chart Click OK. Minitab Membrane Surface
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1
Quality Planning Tools
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(Run Chart) common causes
special causes common causes
(Trend), (Oscilliation), (Mixtures) (Clustering)
Stat > Quality Tools > Run Chart
(Trend), (Oscilliation), (Mixtures) (Clustering) special causes ()
common causes common causes
Data are arranged as
Single Column () Subgroup size ( ) subscript () Subgroup across rows
For data in subgroups Plot subgroup means Plot subgroup median
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1. Stat > Quality Tools > Run Chart 2. () Single
Column Subgroup size 1
Subgroup across rows of 3. OK
: Stat > Quality Tools > Run Chart > Options
Title:
()
common causes
(Mixture)
Number of runs about the median
(Clustering)
() (Oscillation)
Number of runs up or down
(Trend)
()
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(Standard normal) p-values
p-values ( ) p-values ()
(Number of runs about the median)
(Clustering)
(Clustering)
- (Number of runs up or down) - ( )
( ) ( ) run up run down
- ()
() Oscillation trend
Run chart Run test Minitab Run Chart Run Test Run Test
Run Test ()
1 Run test Run Chart
Run Chart Run Test p-values run test p-values Run Chart
20 ( 2 )
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1. RADON.MTW 2. Stat > Quality Tools > Run Chart 3. Single Column Membrane 4. Subgroup size 2 OK
10987654321
45
40
35
30
25
20
Sample
Mem
bran
e
Number o f runs about med ian: 3Expected number o f runs: 6.0Longest run about med ian: 5A pprox P -Value fo r C lustering : 0.022A pprox P -Value fo r M ixtu res: 0.978
Number o f runs up o r dow n: 5Expected number o f runs: 6.3Longest run up o r dow n: 3A pprox P -Value fo r Trends: 0.135A pprox P -Value fo r O sc illation : 0.865
Run Chart of Membrane
(Clustering) 0.05 p-values = 0.02209 0.05
() special causes Cluster
: 0.05 p-value (H0: )
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(Pareto Chart)
(defects) Vital-Few Trivial-Many
vital few trivial many Stat > Quality Tools > Pareto Chart
Chart defects data in: (: Raw data)
72 Minitab 15 15
By variable in ____ (optional): () 25 () Default (all on same graph, same ordering of bars): () One chart per graph, same ordering of bars: 1 1
Chart defects table
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Labels in: Frequencies in:
Combine remaining defects into one category after this percent: Minitab Others Minitab 95%
2
1. 1 2. 2
1. Stat > Quality Tools > Pareto Chart 2.
a. Chart defects data in: b. Chart defects table:
Labels in: Frequencies in:
3. OK
72 Chart defects table
(Missing Data)
missing data missing data * Minitab missing data
missing data Data > Delete Rows or Data > Copy > Columns to Columns
Chart defects table missing data missing data
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: Stat > Quality Tools > Pareto Chart > Options X Y
X axis label: X Defect Y axis label: Y Count Do not chart cumulative percent:
/ Title:
1. 2. TEXT 3. OK
Raw data
Damage
1. EXH_QC>MTW 2. Stat > Quality tools > Pareto chart 3. Chart defects data in Damage OK
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Count 4 2 1 1Percent 50.0 25.0 12.5 12.5Cum % 50.0 75.0 87.5 100.0
Damage DentBendChipScratch
9
8
7
6
5
4
3
2
1
0
100
80
60
40
20
0
Coun
t
Perc
ent
Pareto Chart of Damage
(scratches) (Chips) 75%
2
Count data
Defects Counts
1. EXH_QC.MTW 2. Stat > Quality tools > Pareto chart 3. Chart defects table Label in Defect Frequencies in Counts 4. OK
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Counts 274 59 43 19 10 18Percent 64.8 13.9 10.2 4.5 2.4 4.3Cum % 64.8 78.7 88.9 93.4 95.7 100.0
DefectsOt
her
Incom
plete
Part
Defec
tive H
ousi
Leak
y Gas
ket
Miss
ing Cl
ips
Missi
ng Scre
ws
400
300
200
100
0
100
80
60
40
20
0
Coun
ts
Perc
ent
Pareto Chart of Defects
(Variable data) (Peel)
(Scratch) (Smudge)
1. EXH_QC>MTW 2. Stat > Quality tools > Pareto chart 3. Chart defects data in Flaws By variable in Period 4. OK
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SmudgeOtherScratchPeel
20
15
10
5
0
SmudgeOtherScratchPeel
20
15
10
5
0
Period = Day
Flaws
Coun
t
Period = Evening
Period = Night Period = Weekend
PeelScratchOtherSmudge
Flaws
Pareto Chart of Flaws by Period
(Cause and Effect Diagram) (fishbone diagram)
5M 5 M ( Man, Machine, Material, Method, and Measurement) Personnel Man Minitab 5M
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Stat > Quality Tools > Cause and Effect Diagram (Fishbone diagram) (Ishikawa diagram)
Add/Change Branches
Causes
In column: Cuases 72 ( 5, 3 1) ( 6, 4 2) Constants: Cuases ( 5, 3 1) ( 6, 4 2) Label: 1 6 Personnel, Machines, Materials, Methods, Measurement, Environment ( 5, 3 1) ( 6, 4 2) Do not label branches Sub:
Effect: 72
Title: Do not label the branches:
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Do not display empty branches: ( Minitab 6
72
1. Stat > Quality Tools > Cause and Effect Diagram 2. OK
: Stat > Quality Tools > Cause and Effect Diagram > Sub Branches
Causes
In column: Cuases 72 ( 5, 3 1) ( 6, 4 2) Constants: Cuases ( 5, 3 1) ( 6, 4 2)
(surface flaws)
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1. Stat > Quality Tools > Cause and Effect Diagram 2. Do not label the branches: OK
Cause-and-Effect Diagram
() 1. Stat > Quality Tools > Cause and Effect Diagram 2. Title FISHBONE Diagram OK
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Environment
Measurements
Methods
Material
Machines
Personnel
FISHBONE Diagram
1. SURFACEFLAWS.MTW 2. Stat > Quality Tools > Cause and Effect Diagram 3. Causes 1 6 In column 4. Man, Machine, Method, Measure, Enviro 1 6 5. Effect Surface Flaws OK
FlawsSurface
Environment
Measurements
Methods
Material
Machines
Personnel
O perators
Training
Superv isors
Shifts
Speed
Lathes
Bits
Sockets
Suppliers
Lubricants
A lloy s
Brake
Engager
A ngle
Inspectors
Microscopes
Micrometers
C ondensation
Moisture%
FISHBONE Diagram
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1. SURFACEFLAWS.MTW 2. Stat > Quality Tools > Cause and Effect Diagram 3. Causes 1 6 In column 4. Man, Machine, Method, Measure, Enviro 1 6 5. Man Sub 6. Causes Training 3 ( Training) OK 7. Machine Sub 8. Causes Speed 4 ( Speed) OK 9. Measure Sub 10. Causes Micrometers 1 ( Speed) OK 11. Effect Surface Flaws OK
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FlawsSurface
Environment
entsMeasurem
Methods
Material
Machines
Personnel
O perators
Training
Superv isors
Shifts
Speed
Lathes
Bits
Sockets
Suppliers
Lubricants
A lloy s
Brake
Engager
A ngle
Inspectors
Microscopes
Micrometers
C ondensation
Moisture%
T esting
Mentors
Erratic
T oo slow
C ondition
A ccuracy
FISHBONE Diagram
/ Add/Change Branches : Editor > Graph option
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Causes: 72 ( 5, 3 1) ( 6, 4 2)
Label: Personnel, Machines, Materials, Methods, Measurement, Environment ( 5, 3 1) ( 6, 4 2) Do not label branches Sub: Do not label the branches: Do not display empty branches: ( Minitab
6 )
1. Editor > Graph Options 2. Causes 3. OK
Testing Shipping
1. SURFACEFLAWS.MTW 2. Stat > Quality Tools > Cause and Effect Diagram 3. Causes 1 6 In column 4. Man, Machine, Method, Measure, Enviro 1 6 5. Effect Surface Flaws OK 6. Editor > Graph Options 7. 7 Causes Handling Alignment Label Testing 8. 8 Causes Forklift Conveyor Label Shipping 9. OK
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FlawsSurface
Shipping
Testing
Environment
Measurements
Methods
Material
Machines
Personnel
O perators
Training
Superv isors
Shifts
Speed
Lathes
Bits
Sockets
Suppliers
Lubricants
A lloy s
Brake
Engager
A ngle
Inspectors
Microscopes
Micrometers
C ondensation
Moisture%
A lignment
Handing
C onv ey or
Forklift
FISHBONE Diagram
(Editor)
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FlawsSurface
Shipping
Testing
Environment
Measurements
Methods
Material
Machines
Personnel
O perators
Training
Superv isors
Shifts
Speed
Lathes
Bits
Sockets
Suppliers
Lubricants
A lloy s
Brake
Engager
A ngle
Inspectors
Microscopes
Micrometers
C ondensation
Moisture%
Testing
Shipping
FISHBONE Diagram
: Editor > Graph option > Sub Branches
Causes: 72
( 5, 3 1) ( 6, 4 2)
1. Editor > Graph Options 2. Sub Branches 3. Causes 4. OK
1. SURFACEFLAWS.MTW 2. Stat > Quality Tools > Cause and Effect Diagram 3. Causes 1 6 In column 4. Man, Machine, Method, Measure, Enviro 1 6
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5. Effect Surface Flaws OK 6. Editor > Graph Options 7. 1 Sub 8. 1 Causes A B 9. 2 Causes Jones Smith Best OK 10. 6 Causes Humidity Temperature Sub 11. 1 Causes High Low 12. 2 Causes High Low 13. OK
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FlawsSurface
Environment
Measurements
Methods
Material
Machines
Personnel
O perators
Training
Superv isors
Shifts
Speed
Lathes
Bits
Sockets
Suppliers
Lubricants
A lloy s
Brake
Engager
A ngle
Inspectors
Microscopes
Micrometers
Temperature
Humidity
BA
Bes t
Sm ithJones
LowHigh
LowHigh
FISHBONE Diagram
Multi Vari Chart Minitab Multi -Vari Chart 4 (factors) Multi-Vari Chart
Stat > Quality Tools > Multi-Vari Chart
Response: Response () Factor 1: 1 Factor 2: 2 Factor 3: 3 Factor 4: 4
Multi Vari Chart response 1 4
(Factor levels) Text categories
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Multi Vari Chart 1. Stat > Quality Tools > Multi-Vari Chart 2. Response Response 3. Factor 1 (Factor Level) 4. 1 Factor 2 ,Factor 3 Factor 4 5. OK
: Stat > Quality Tools > Multi-Vari Chart > Options
Display Options
Display individual data options: Connect means for Factor 1: 1 Connect means for Factor 2: 2 Connect means for Factor 3: 3 Title:
Multi-Vari Chart Sintering Compressive Strength 3
Compressive Strength 5 Sintering 3 100 , 150 200 Multi-Vari Chart interaction
1. SINTER.MTW 2. Stat > Quality Tools > Multi-Vari Chart 3. Response Strength 4. Factor 1 Sinter Time Factor 2 Metal Type OK
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321
24
23
22
21
20
19
18
17
MetalType
Stre
ngth
100150200
SinterTime
Multi-Vari Chart for Strength by SinterTime - MetalType
multi-vari chart interaction Sinter 1
Sinter Compressive Strength Sinter 100 2 Sinter Compressive Strength Sinter 150 3 Sinter Compressive Strength Sinter 200 Interaction analysis of variance linear model
Symmetry Plot
Symmetry Plot
non parametric Symmetry plot
Stat > Quality Tools > Symmetry Plot
Variables: Symmetry Plot Minitab Symmetry Plot
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Symmetry Plot 1. Stat > Quality Tools > Symmetry Plot 2. Varibles Symmetry Plot 3. OK
() Y=X Symmetry Plot Minitab
run
(Left Skewness) (Right Skewness) () ()
Skewness to the right:
() Skewness to the left:
()
25 30
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: Stat > Quality Tools > Symmetry plot > Options
Title:
Symmetry Plot 1. EXH_QC.MTW 2. Stat > Quality Tools > Symmetry Plot 3. Varibles Faults OK
3.02.52.01.51.00.50.0
3.0
2.5
2.0
1.5
1.0
0.5
0.0
Upper Distance to Median
Low
er D
ista
nce
to M
edia
n
210-1-2
20
10
0
Symmetry Plot for Faults
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