Cover image for Variation risk management : focusing quality improvements in products development and production
Title:
Variation risk management : focusing quality improvements in products development and production
Personal Author:
Publication Information:
Hoboken, N.J. : John Wiley & Sons, 2004
ISBN:
9780471446798

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30000010046071 TS156 T464 2004 Open Access Book Book
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30000010049694 TS156 T464 2004 Open Access Book Book
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Summary

Summary

"A thoughtful, complete, and very readable approach to robust engineering. It presents insights that correlate with those learned at Ford while developing and executing Design for Six Sigma. Having this book three years ago could've helped with that effort."-David Amos, DFSS Deployment Director, Ford Motor Company

Written by Anna C. Thornton, the well-known author who coined the phrase "variation risk management," this comprehensive book presents new methods and implementation strategies based on her research of industry practices and her personal experience with such companies as The Boeing Company, Eastman Kodak Company, Ford Motor Company, Johnson & Johnson, and many others. Step-by-step guidelines show how you can implement and apply variation risk management to real-world problems within the existing systems of an organization.


Author Notes

ANNA C. THORNTON, PHD , is a partner at Analytics Operations Engineering, Inc., where she helps a wide variety of companies implement, streamline, and improve their quality and product development initiatives. A leading expert in the field, she focuses on developing modeling tools to help with resource allocation and strategy decisions for variation control in design and production.


Table of Contents

Prefacep. xiii
Figuresp. xv
Tablesp. xix
Text Boxesp. xxi
Nomenclaturep. xxiii
Acronymsp. xxv
1 Introductionp. 1
1.1. The Competitive Advantage of VRMp. 5
1.2. Guide to Readersp. 8
2 Basics of Variation Risk Managementp. 12
2.1. Basic Principles of VRMp. 13
2.1.1. VRM Must Be Holisticp. 14
2.1.2. VRM Must Be Process Orientedp. 17
2.1.3. VRM Must Be Data Drivenp. 24
2.2. Variation and Its Impact on Qualityp. 25
2.3. Summaryp. 31
3 Identificationp. 33
3.1. Definition of Key Characteristics and Variation Flowdownp. 34
3.1.1. Key Characteristicsp. 35
3.1.2. Variation Flowdownp. 38
3.2. Defining the Scope of the VRM Applicationp. 42
3.3. Identifying Critical System Requirementsp. 42
3.3.1. Identify the Voice of the Customerp. 43
3.3.2. Identify Specifications and Requirementsp. 43
3.3.3. Identify Critical System Requirementsp. 43
3.4. Identifying System Key Characteristicsp. 45
3.4.1. What Is a System Key Characteristic?p. 45
3.4.2. Examples of System Key Characteristicsp. 47
3.5. Creating the Variation Flowdownp. 52
3.5.1. What Information to Gatherp. 56
3.5.2. How to Conduct the Top-Down Processp. 58
3.5.3. How to Conduct the Bottom-Up Processp. 60
3.5.4. How to Conduct and Document the Identification Procedurep. 63
3.6. Summaryp. 64
4 Overview of Assessmentp. 68
4.1. Assessment during Product Developmentp. 70
4.2. Assessment during Productionp. 73
5 Assessment of Defect Ratesp. 76
5.1. Predicting the Frequency of Defectsp. 76
5.1.1. Variation Modelsp. 79
5.1.2. Prediction Toolsp. 83
5.2. Estimating the Contributions of Part and Process KCsp. 93
5.2.1. Qualitative Analysis of Variation Contributionp. 95
5.2.2. Quantitative Analysis of Variation Contributionp. 96
5.3. Measuring the Frequency of Defectsp. 96
5.4. Measuring the Contributions of Part and Process KCsp. 100
5.5. Summaryp. 101
6 Assessment of Cost and Riskp. 102
6.1. Cost and Risk Assessment during Product Developmentp. 103
6.1.1. Qualitative Assessmentsp. 105
6.1.2. Step Cost Functionsp. 106
6.1.3. Continuous Cost Functionsp. 106
6.2. Total Cost of Variation Assessment during Productionp. 109
6.2.1. Cost Sourcesp. 109
6.2.2. Representation of the Total Cost of Variationp. 117
6.2.3. Cost Analysis and Aggregationp. 119
6.3. Summaryp. 12
7 Assessment of the Quality Control Systemp. 124
7.1. QC Plan Maturityp. 126
7.1.1. Detection Capability and Effectivenessp. 126
7.1.2. Diagnosis Capabilityp. 127
7.1.3. Efficient Resource Utilizationp. 128
7.2. QC Location in the Manufacturing Processp. 129
7.3. QC Effectiveness Matrixp. 133
7.4. Summaryp. 135
8 Mitigationp. 137
8.1. Mitigation during Product Development and Productionp. 138
8.1.1. Mitigation during Product Developmentp. 139
8.1.2. Mitigation during Productionp. 140
8.2. Identifying Mitigation Strategiesp. 141
8.2.1. Design Changesp. 141
8.2.2. Manufacturing Process Changesp. 145
8.2.3. Manufacturing Process Improvementsp. 151
8.2.4. Monitoring and Controlling Manufacturing Processesp. 151
8.2.5. Testing and Inspectionp. 154
8.3. Selecting a Mitigation Strategyp. 155
8.4. Selecting a Project Portfoliop. 157
8.5. Executing Mitigation Strategiesp. 160
8.6. Summaryp. 162
9 Integration of Variation Risk Management with Product Developmentp. 165
9.1. Basics of Product Developmentp. 165
9.1.1. Stage Gate Product Development Processp. 165
9.1.2. VRM during Product Developmentp. 167
9.1.3. Metricsp. 168
9.2. Requirements Developmentp. 170
9.3. Concept Developmentp. 172
9.4. Product Architecture Designp. 174
9.5. System Concept Designp. 178
9.6. Detail Designp. 179
9.7. Product Testing and Refinementp. 180
9.8. Transition to Productionp. 183
9.8.1. Handling Customer Complaintsp. 184
9.8.2. Wrap-Upp. 186
9.8.3. Documenting the Key Characteristic Planp. 186
9.9. Productionp. 188
9.9.1. Continually Monitor Total Cost of Variationp. 188
9.9.2. Track Customer Complaint Datap. 189
9.9.3. Review Quality Control Datap. 191
9.9.4. Track Impact of Changesp. 192
9.10. Summaryp. 192
10 Roles and Responsibilities in Variation Risk Managementp. 193
10.1. Product Developmentp. 194
10.1.1. The Integrated Product Team Approachp. 194
10.1.2. Expert Teamsp. 199
10.1.3. Coachesp. 200
10.2. Productionp. 200
10.2.1. Production Teamsp. 201
10.2.2. Expert Teamsp. 201
10.3. Suppliers' Roles and Responsibilitiesp. 202
10.3.1. Role of Suppliers during Product Developmentp. 203
10.3.2. Role of Suppliers during Productionp. 206
10.3.3. What Does a KC Mean to a Supplier?p. 207
10.4. Summaryp. 208
11 Planning and Implementing a Variation Risk Management Programp. 209
11.1. Planning a VRM Programp. 209
11.1.1. Gathering Management Supportp. 210
11.1.2. Gathering Organizational Supportp. 211
11.1.3. Baselining the Existing VRM Processesp. 211
11.1.4. Formalizing VRMp. 215
11.1.5. Developing KC Tracking Methodsp. 215
11.1.6. Identifying Lead Usersp. 217
11.1.7. Developing Training Materialsp. 219
11.2. Implementing the VRM Programp. 220
11.2.1. Identifying Initial Projectsp. 221
11.2.2. Training the Teamp. 221
11.2.3. Applying VRMp. 221
11.2.4. Gathering Feedbackp. 222
11.3. Summaryp. 222
12 Summaryp. 223
Appendix A Maturity Modelsp. 226
Appendix B Process Capability Databasesp. 231
B.1. Background on Process Capability Datap. 232
B.1.1. Importance of Using Process Capability Datap. 232
B.1.2. Structure and Content of a Process Capability Databasep. 234
B.1.3. Difficulties in Implementing Process Capability Databasesp. 235
B.2. The Right Structurep. 235
B.2.1. Designing the Indexing Schemep. 237
B.2.2. Choosing the Database Implementation Approachp. 241
B.2.3. Creating the User Interfaces and Data Analysisp. 242
B.3. The Right Datap. 245
B.4. The Right Management Supportp. 247
B.5. The Right Usagep. 248
B.6. Implementation of a Process Capability Databasep. 249
B.6.1. Who Should Be Involvedp. 250
B.6.2. What Decisions Should Be Madep. 251
B.6.3. Implementation Stepsp. 252
B.7. Summaryp. 252
Appendix C Other Initiativesp. 253
C.1. Six Sigmap. 254
C.2. Design for Six Sigmap. 259
C.3. Lean Manufacturingp. 260
C.4. Continual Improvement, TQM, and Kaizenp. 262
C.5. Dimensional Managementp. 263
C.6. Design for Manufacturingp. 264
C.7. Quality Function Deployment (House of Quality)p. 264
C.8. FMEAp. 267
C.9. Summaryp. 267
Appendix D Summary of Process Diagramsp. 269
Glossaryp. 273
Bibliographyp. 277
Indexp. 281