Voice of the Customer Capture and Analysis
, by Yang, KaiNote: Supplemental materials are not guaranteed with Rental or Used book purchases.
- ISBN: 9780071465441 | 0071465448
- Cover: Hardcover
- Copyright: 11/14/2007
Market: Six Sigma Master Black Belts and Black Belts, Lean manufacturing product managers, manufacturing operations managers, and quality control managers
Kai Yang, Ph.D. has extensive experience in many areasof quality and reliability engineering. He is also an associate professor ofindustrial and manufacturing engineering at Wayne State University.
Value, Innovation, and the Voice of the Customer | p. 1 |
Defining Customer Value | p. 2 |
Innovation Roadmap | p. 5 |
Voice of the Customer: Mining for the Gold | p. 6 |
Overview of This Book | p. 8 |
The Product Development Process | p. 9 |
Defining Product Cost and Development | p. 9 |
Product Development Process Flowchart | p. 13 |
The Product Development Process-End to End | p. 14 |
Opportunity Identification and Idea Generation: Stage 0 | p. 14 |
Customer and Business Requirement Study: Stage 1 | p. 17 |
Concept Development: Stage 2 | p. 18 |
Product Design and Prototype: Stage 3 | p. 25 |
The Nature of Product Development: Information and Knowledge Creation | p. 33 |
Axiomatic Design | p. 35 |
Design as an Information Production Factory | p. 43 |
Information and Knowledge Mining | p. 45 |
Information Transformation | p. 53 |
Information and Knowledge Creation | p. 56 |
The Ideal Product Development Process | p. 60 |
Customer-Value-Based Lean Product Development Process | p. 64 |
Lean Operation Principles | p. 64 |
Waste Elimination in Process | p. 65 |
Value-Stream Mapping | p. 66 |
One-Piece Flow | p. 68 |
Pull-Based Production | p. 70 |
Lean Principles for Product Development | p. 71 |
Mining the Voice of the Customer to Capture Value | p. 74 |
Maximizing Technical Competence | p. 75 |
Front-Loading the Product Development Process | p. 76 |
Optimizing Information Transformation and Flow | p. 78 |
Creating a Lean Product | p. 86 |
Customer Value and the Voice of the Customer | p. 89 |
Customer Value and Its Elements | p. 91 |
Value and Other Commonly Used Metrics | p. 94 |
The Versatility and Dynamics of Value | p. 95 |
Customer Value Analysis | p. 97 |
Market-Perceived Quality Profile | p. 98 |
Market-Perceived Price Profile | p. 102 |
Customer Value Map | p. 104 |
Competitive Customer Value Analysis | p. 107 |
Customer Value Deployment | p. 109 |
Evolution of Customer Values-Blue Ocean Strategy | p. 111 |
Formulating a Blue Ocean Strategy | p. 116 |
Customer Value and the Voice of the Customer | p. 123 |
Capturing the Voice of the Customer | p. 126 |
Plan for Capturing the Voice of the Customer | p. 127 |
Customer Survey Design, Administration, and Analysis | p. 133 |
Customer Survey Types | p. 133 |
Mail-Out Surveys | p. 134 |
In-Person Interviews | p. 134 |
Telephone Surveys | p. 135 |
Other Methods of Gathering Information | p. 135 |
Stages of the Customer Survey | p. 136 |
Stage 1: Establish Goals and Objectives of the Survey | p. 137 |
Stage 2: Set the Survey Schedule and Budget | p. 138 |
Stage 3: Establish an Information Base | p. 138 |
Stage 4: Determine the Population and Sampling Frame | p. 139 |
Stage 5: Determine Sample Size and Selection Procedure | p. 139 |
Stage 6: Design the Survey Instrument | p. 139 |
Stage 7: Pretest the Survey Instrument | p. 140 |
Stage 8: Select and Train Survey Interviewers | p. 140 |
Stage 9: Implement the Survey | p. 140 |
Stage 10: Analyze the Data and Report | p. 140 |
Survey Instrument Design | p. 141 |
Close-Ended Questions | p. 141 |
Open-Ended Questions | p. 144 |
The Wording of Survey Questions | p. 144 |
Order of Questions in Surveys | p. 145 |
Questionnaire Length | p. 147 |
Administering the Survey | p. 147 |
Administering Mail-Out Surveys | p. 147 |
Administering Telephone Surveys | p. 148 |
Administering In-Person Surveys | p. 148 |
Survey Sampling Method and Sample Size | p. 148 |
Population and Sampling Frame | p. 149 |
Sampling Methods | p. 150 |
Sample Size Determination | p. 153 |
Internet Surveys | p. 157 |
Drawing People to the Internet-Based Survey | p. 158 |
Administering a Survey on the Internet | p. 162 |
Comparing Paper-Based Surveys with Internet Surveys | p. 166 |
Proactive Customer Information Gathering-Ethnographic Methods | p. 169 |
What Are Ethnographic Methods? | p. 171 |
Frequently Used Ethnographic Methods | p. 173 |
Data Recording Methods | p. 174 |
Types of Ethnographic Research Used in Product Development | p. 175 |
Key Winning Factors for Ethnographic Methods | p. 177 |
Ethnographic Research Project Planning | p. 178 |
Determining Research Objectives | p. 178 |
Recruiting Informants | p. 180 |
Selecting Research and Data Collection Methods | p. 185 |
Developing the Ethnographic Research Team and Ground Rules | p. 189 |
Ethnographic Project Execution | p. 191 |
Ethnographic Interviews and Documentation | p. 191 |
Ethnographic Observations in Shops | p. 196 |
Ethnographic Observations in Product Usage Processes | p. 198 |
Ethnographic Studies of Customer Cultures | p. 203 |
VOC Data Processing | p. 213 |
Types of VOC Data | p. 213 |
Analyzing VOC Data | p. 214 |
Methods of Analyzing VOC Data | p. 214 |
Affinity Diagram-KJ Method | p. 214 |
Quantitative VOC Data Analysis | p. 221 |
Critical-to-Quality Characteristics (CTQ) | p. 223 |
Quality Function Deployment (QFD) | p. 229 |
History of QFD | p. 231 |
QFD Benefits, Requirements, and Practicalities | p. 231 |
QFD Methodology Overview | p. 232 |
Customer Attributes (Whats) | p. 234 |
CTSs (Hows) | p. 235 |
Relationship Matrix | p. 235 |
Importance Ratings | p. 237 |
Planning Matrix | p. 237 |
CTS Correlation (Hows Correlation) | p. 238 |
Targets and Limits (How Much) | p. 238 |
Competitive Benchmarks | p. 239 |
Kano Model of Quality | p. 239 |
QFD Analysis | p. 240 |
Example 7.1 Information System Design | p. 241 |
Ranking Customer Input | p. 241 |
Ranking the Functional Requirements | p. 243 |
QFD Case Study 1: Global Commercial Process Design | p. 244 |
QFD Steps | p. 245 |
The Hows Importance Calculation | p. 248 |
Phase I QFD Diagnostics | p. 249 |
QFD Case Study 2: Yaesu Book Center | p. 251 |
Determine Customer Attributes (Whats) | p. 254 |
Determine Quality Characteristics (Hows) | p. 255 |
Assign Degree of Importance to Customer Attributes | p. 255 |
Determine Operations Items | p. 255 |
Two-Phase QFD Analysis for Yaesu Book Center | p. 255 |
Customer Value Creation by Brand Development | p. 259 |
The Anatomy of Brands | p. 262 |
People's Buying Behavior and Brands | p. 262 |
Brand Identity | p. 264 |
Brand Equity | p. 275 |
Brand Development | p. 277 |
Key Factors in Brand Development | p. 278 |
The Brand Development Process | p. 281 |
Strategic Brand Analysis | p. 283 |
Brand Strategy Development | p. 287 |
Brand Implementation | p. 293 |
Brand Evaluation | p. 293 |
Value Engineering | p. 297 |
An Overview of Value Engineering | p. 298 |
Collecting Information and Creating Design Alternatives | p. 298 |
Evaluating, Planning, Reporting, and Implementing | p. 300 |
The Job Plan | p. 300 |
Information Phase | p. 300 |
Information Development | p. 301 |
Function Determination | p. 306 |
Function Analysis and Evaluation | p. 314 |
Creative Phase | p. 328 |
Brainstorming | p. 328 |
Evaluation Phase | p. 329 |
Relatively Simple Evaluations | p. 330 |
More Complex Evaluations | p. 331 |
Selection and Screening Techniques | p. 332 |
Planning Phase | p. 335 |
Reporting Phase | p. 336 |
Implementation Phase | p. 337 |
Setting a Goal | p. 338 |
Develop An Implementation Plan | p. 338 |
Automobile Dealership Construction (Park 1999) | p. 339 |
Engineering Department Organization Analysis (Park 1999) | p. 341 |
Customer Value Creation Through Creative Design (TRIZ) | p. 345 |
Theory of Inventive Problem Solving (TRIZ) | p. 345 |
What Is TRIZ? | p. 347 |
TRIZ Fundamentals | p. 349 |
Function Modeling and Analysis | p. 349 |
Use of Resources | p. 353 |
Ideality | p. 354 |
Contradictions | p. 355 |
Evolution | p. 357 |
The TRIZ Problem-Solving Process | p. 360 |
Problem Definition | p. 360 |
Problem Classification and Tool Selection | p. 362 |
Problem-Solution Generation | p. 363 |
Problem Concept Evaluation | p. 363 |
Technical Contradiction Elimination and Inventive Principles | p. 363 |
Statistical Basics and Six Sigma Metrics | p. 379 |
Six Sigma and Data Analysis | p. 379 |
Descriptive Statistics | p. 380 |
Dot Plot | p. 380 |
Histogram | p. 380 |
Box Plot | p. 382 |
Numerical Descriptive Statistics | p. 382 |
Random Variables and Probability Distributions | p. 386 |
Discrete and Continuous Random Variables | p. 386 |
Expected Values, Variance, and Standard Deviation | p. 387 |
Probability Distribution Models | p. 388 |
Statistical Parameter Estimation | p. 391 |
Quality Measures and Six Sigma Metrics | p. 392 |
Process Performance | p. 392 |
Process Capability Indices | p. 393 |
Sigma Quality Level (Without Mean Shift) | p. 395 |
Sigma Quality Level (With Mean Shift) | p. 396 |
References | p. 399 |
Index | p. 403 |
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