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E-raamat: Defect Prevention: Use of Simple Statistical Tools [Taylor & Francis e-raamat]

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Defect Prevention: Use of Simple Statistical ToolsSuurem pilt
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781003418122
This book discusses statistical process control (SPC) concepts, emphasizing the need to establish stability of work processes. It gives the elements required to develop a defect prevention system (DPS), and integrates the application of process control and problem analysis tools.
About the Series v
Preface vii
Part I Basic Concepts of Process Control
1(316)
1 Defect Prevention Concepts
3(9)
1.1 Introduction
3(3)
1.2 Some Essential Ingredients
6(4)
1.3 Defect Prevention System
10(1)
1.4 Vital Systems
10(2)
2 Process Definition and Measurement
12(23)
2.1 Defining Work
12(1)
2.2 Defining a Process
12(4)
2.3 Process Flow Diagram Examples
16(7)
2.4 Applications of Process Flow Diagrams
23(3)
2.5 Measurement
26(2)
2.6 Gaging
28(7)
Problems
33(2)
3 Control Charts
35(62)
3.1 Coded Measurements
36(2)
3.2 Location and Variation Estimates
38(6)
3.3 Run Chart
44(2)
3.4 Multiple-Point Run Chart
46(1)
3.5 Mean and Range Control Chart
47(11)
3.6 Median and Range Control Chart*
58(2)
3.7 Percentage Control Chart
60(3)
3.8 Count Control Chart*
63(2)
3.9 Special-Cause and Common-Cause Variation
65(2)
3.10 Out-of-Control Signals
67(5)
3.11 Control Limits Versus Specification Limits
72(1)
3.12 Reacting to Control Charts
73(2)
3.13 Case Studies
75(22)
Problems
83(14)
4 Control Chart Sampling Concepts and Applications
97(68)
4.1 Sampling from a Process
97(4)
4.2 Process Control Sampling Considerations
101(8)
4.3 Within and Between Variation
109(5)
4.4 Variation and Special Causes Diagrams
114(6)
4.5 Troubleshooting Using Increased Sampling
120(2)
4.6 Some Alternatives to Isolate Process Variation
122(2)
4.7 Control Chart Application Problems
124(12)
4.8 Special Applications'"
136(7)
4.9 Case Studies
143(22)
Problems
156(9)
5 Histograms
165(48)
5.1 General Concepts
165(8)
5.2 Stem and Leaf Plots
173(5)
5.3 Normal Distribution and Zones A, B, and C
178(2)
5.4 Transformations*
180(4)
5.5 Histogram Applications
184(7)
5.6 Histograms from Control Charts
191(9)
5.7 Case Studies
200(13)
Problems
210(3)
6 Interpretation of Control Charts
213(53)
6.1 Process Stability
213(3)
6.2 Process Instability
216(4)
6.3 Control Chart Patterns
220(11)
6.4 Interpretation of Stratified Control Charts
231(7)
6.5 Control Chart Simulation
238(4)
6.6 Summary
242(2)
6.7 Case Studies
244(22)
Problems
260(6)
7 Process Capability
266(51)
7.1 General Concepts
266(2)
7.2 Process Potential Index Cp
268(3)
7.3 Process Performance Index
271(4)
7.4 Process Capability Applications
275(2)
7.5 Evaluation of Stability, Cp, and Cp*
277(6)
7.6 Relating Control Chart Sampling Intensity to Capability
283(2)
7.7 Computing Capability from Histograms
285(8)
7.8 New Machine Tryout*
293(2)
7.9 Process Audits*
295(2)
7.10 Summary
297(1)
7.11 Case Studies
298(19)
Problems
313(4)
Part II Simple Problem Analysis Tools
317(266)
8 Check Sheets
319(25)
8.1 The Role of Data
319(1)
8.2 Types of Check Sheets
320(10)
8.3 Checklist for Evaluating a Check Sheet
330(1)
8.4 Primary Uses of Check Sheets
330(1)
8.5 Summary
330(2)
8.6 Case Studies
332(12)
9 Pareto Diagrams
344(37)
9.1 General Concepts
344(1)
9.2 How to Construct a Pareto Diagram
345(4)
9.3 Directing Improvement Efforts
349(6)
9.4 Pareto Comparisons
355(3)
9.5 Pareto Diagrams for Cost
358(2)
9.6 Stratification by Two or More Factors
360(5)
9.7 Warnings About Using Pareto Analysis
365(1)
9.8 Case Studies
365(16)
Problems
377(4)
10 Stratification and Graphs
381(24)
10.1 Two Fundamental Tools
381(6)
10.2 Bar Graphs
387(8)
10.3 Line Graphs
395(3)
10.4 Pie Chart
398(2)
10.5 Interpretation Problems with Graphs
400(5)
Problems
403(2)
11 Comparison Methods
405(49)
11.1 Improvement and Troubleshooting Using Comparisons
405(5)
11.2 Variability Comparisons
410(9)
11.3 Location Comparisons
419(9)
11.4 Comparison of Two Groups (Different Parts)
428(11)
11.5 Case Studies
439(15)
Problems
449(5)
12 Scatter Plots
454(86)
12.1 General Concepts
454(6)
12.2 Construction and Analysis of a Scatter Plot
460(19)
12.3 Scatter Plot Applications
479(9)
12.4 Application Problems
488(2)
12.5 Prediction Line*
490(5)
12.6 Comparison of Two Groups (Same Parts)
495(11)
12.7 Relationship Between Scatter Plots and Control Charts
506(1)
12.8 Target Charts*
507(4)
12.9 Case Studies
511(29)
Problems
523(17)
13 Cause-and-Effect Diagrams and Problem Solving
540(43)
13.1 General Concepts
540(2)
13.2 Concepts of the Cause-and-Effect Diagram
542(4)
13.3 Types of Cause-and-Effect Diagrams
546(5)
13.4 Investigation of Potential Causes
551(3)
13.5 Benefits of a Cause-and-Effect Diagram
554(3)
13.6 Problem Analysis System
557(26)
Part III Defect Prevention System
583(28)
14 Building a Defect Prevention System
585(26)
14.1 Establish Open Communications
585(3)
14.2 Change Operating Systems
588(1)
14.3 Initiate Customer Feedback Systems
589(1)
14.4 Develop Key Quality and Productivity Indicators
590(2)
14.5 Utilize Problem-Solving Teams
592(1)
14.6 Define Process Relationships
593(8)
14.7 Develop and Implement a Process Control Plan
601(8)
14.8 Develop an Incoming Material Defect Prevention System
609(1)
14.9 Emphasize Management Evaluation of Systems
610(1)
14.10 Develop a Continual Improvement Mindset
610(1)
Selected Bibliography
611(2)
Appendix I Gage Evaluation
613(30)
I.1 Measurement Process
613(1)
I.2 Sources of Measurement Error
614(19)
I.3 Gage Sensitivity
633(3)
I.4 Gage Stability
636(4)
I.5 Gage Purchase
640(3)
Appendix II Geometric Dimensioning and Tolerancing
643(18)
II.1 Introduction
643(1)
II.2 Common Terms and Definitions
644(1)
II.3 Datums
644(1)
II.4 Datum Reference Frame
645(3)
II.5 Rules
648(1)
II.6 Main Geometric Characteristics
649(12)
Appendix III Tables
661(21)
III.1 Control Chart Constants
662(2)
III.2 Normal Distribution Probability Values
664(1)
III.3 T-Distribution Critical Values
665(1)
III.4 F-Distribution Critical Values
666(2)
III.5 Analysis of Means Constants h
668(2)
III.6 Variability Comparison Critical Values
670(1)
III.7 Fmax Ratio Critical Values
671(2)
III.8 Sign Test for Correlation Critical Values
673(1)
III.9 Correlation Coefficient r Critical Values
674(1)
III.10 Random Numbers
675(4)
III.11 Equivalent Hardness Values for Steel
679(1)
III.12 Metric to U.S. Conversion Factors
680(2)
Index 682
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