Successful industrial experimentation:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | German |
| Published: |
New York, New York ; Weinheim ; Cambridge
VCH
1995
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 133 - 135 |
| Physical Description: | XIV, 139 S. graph. Darst. |
| ISBN: | 1560810505 |
Staff View
MARC
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| 245 | 1 | 0 | |a Successful industrial experimentation |c Brett Kyle |
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Record in the Search Index
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| adam_text | Contents
1. Introduction 1
1.1 Why Conduct Experiments? 1
1.2 Stages of Experimentation 4
Stage 1: Selection of a Design Team 4
Stage 2: Preparation for Experiment 6
Stage 3: Conduct Trial 7
Stage 4: Data Analysis 8
Stage 5: Publicize Results 8
2. Getting Started 9
2.1 Flow Diagrams 9
2.2 Construction of a Row Diagram 10
Step 1: Assembling a Team 12
Step 2: Identification of the Main Flow Path 12
Step 3: Addition of Secondary Loops 14
Step 4: Check Consistency 14
3. Data Collection 15
3.1 Check Sheets 15
3.2 Types of Check Sheets 15
3.3 Construction of a Check Sheet 16
xl
CONTENTS
Step 1: Selection of the Design Team 16
Step 2: Identifying Collection Points 18
Step 3: Duration of Data Collection 18
Step 4: Collecting Data 18
Step 5: Data Review 19
3.4 Disappearing Income 20
4. Pareto Charts 25
4.1 Pareto Principle 25
4.2 Construction of a Pareto Chart 27
Step 1: Categorize Data 28
Step 2: Formatting 28
Step 3: Calculation of Relative and Cumulative
Frequency 29
Step 4: Plot Data 30
5. Cause and Effect Diagrams 33
5.1 Introduction 33
5.2 Types of Diagrams 35
5.3 Construction of Cause and Effect Diagrams 37
6. Basic Statistics 43
6.1 Introduction 43
6.2 Descriptive Statistics 44
6.3 Samples and Populations 44
6.4 Average 45
6.5 Mean 45
6.6 Median 46
6.7 Variation 48
6.8 Standard Deviation and Variances 49
6.9 Normal Distribution 53
6.10 Hypothesis Formulation 54
6.11 Error and Risk 56
6.12 F Statistic 57
7. Analysis of Variance 61
7.1 One Way Analysis of Variance 61
7.2 Changing Fuel Efficiency 61
7.3 Types of Variation 63
7.4 Variance 64
7.5 Sum of Squares 64
7.6 Degrees of Freedom 64
7.7 Generation of a One Way Analysis of Variance Table 65
CONTENTS xUl
Step 1: Determination of Squares 66
Step 2: Calculation of the Correction Factor 67
Step 3: Calculation of the Sum of Squares 67
Step 4: Calculation of the Degrees of Freedom 68
Step 5: Generation of ANOVA Table 68
7.8 Two Way Analysis of Variance 70
Step 1: Determination of Squares 71
Step 2: Calculation of the Correction Factor 73
Step 3: Calculation of the Sum of Squares 73
Step 4: Calculation of the Degrees of Freedom 74
Step 5: Generation of ANOVA Table 74
7.9 Determination of F Statistic 75
8. Screening Experiments 77
8.1 What are Screening Experiments? 77
8.2 Orthogonal Arrays 77
8.3 Confounding 78
8.4 Resolution 82
8.5 Selecting a Design 82
8.6 Selecting Response Variables 83
8.7 Assigning Factors to a Design 84
8.8 Choosing Factor Ranges 85
8.9 Determining the Reasonableness of the Ranges
Selected 85
8.10 Sample Size 86
8.11 Determination of Sample Sizes 86
9. ANOVA for Screening Experiments 89
9.1 Case Study: Batting Average 89
9.2 Calculation of the Level Sums 91
9.3 Level Sums Table 93
9.4 Sums of Squares 94
9.5 Significance Plot 95
9.6 Pooled Error ANOVA Table 96
9.7 Variance 97
9.8 Calculation of the F Statistic 97
9.9 Expected Sums of Squares and Percent Contribution 98
9.10 Interpretation of ANOVA Table 99
9.11 Estimation of Best Run Conditions 100
9.12 Confidence Intervals 101
9.13 Confirmation Experiment 102
xiv
CONTENTS
Appendix A. Glossary 103
Appendix B. Common Two and Three Level Orthogonal
U 107
L8 108
L9 108
L|2 109
L)6 109
L,g 110
L27 110
L32 112
Appendix C. Confounding Patterns for Common
Orthogonal Arrays 115
1 8 115
L,6 117
L32 122
Appendix D. Tables 127
F Distribution 127
t Distribution 130
Random Numbers 131
Values for ,„ and ,„ at Selected Degrees of Freedom 131
Appendix E. References 133
Index 137
|
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| discipline | Technik allgemein Mathematik Fertigungstechnik Wirtschaftswissenschaften |
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| id | DE-604.BV010634494 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:56:20Z |
| institution | BVB |
| isbn | 1560810505 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007094918 |
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| owner_facet | DE-12 DE-703 DE-91G DE-BY-TUM DE-521 DE-526 DE-83 |
| physical | XIV, 139 S. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | VCH |
| record_format | marc |
| spelling | Kyle, Brett Verfasser aut Successful industrial experimentation Brett Kyle New York, New York ; Weinheim ; Cambridge VCH 1995 XIV, 139 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 133 - 135 Experimental design Research, Industrial -- Statistical methods Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Qualitätsmanagement (DE-588)4219057-5 gnd rswk-swf Qualitätsmanagement (DE-588)4219057-5 s Versuchsplanung (DE-588)4078859-3 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007094918&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kyle, Brett Successful industrial experimentation Experimental design Research, Industrial -- Statistical methods Versuchsplanung (DE-588)4078859-3 gnd Qualitätsmanagement (DE-588)4219057-5 gnd |
| subject_GND | (DE-588)4078859-3 (DE-588)4219057-5 |
| title | Successful industrial experimentation |
| title_auth | Successful industrial experimentation |
| title_exact_search | Successful industrial experimentation |
| title_full | Successful industrial experimentation Brett Kyle |
| title_fullStr | Successful industrial experimentation Brett Kyle |
| title_full_unstemmed | Successful industrial experimentation Brett Kyle |
| title_short | Successful industrial experimentation |
| title_sort | successful industrial experimentation |
| topic | Experimental design Research, Industrial -- Statistical methods Versuchsplanung (DE-588)4078859-3 gnd Qualitätsmanagement (DE-588)4219057-5 gnd |
| topic_facet | Experimental design Research, Industrial -- Statistical methods Versuchsplanung Qualitätsmanagement |
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