This book develops a quantitative structured methodology for managing the development of new products for highly competitive markets. Particular attention has been given to integrating a number of experimental tools and concepts within a common framework including marketing research. Taguchi methods, value benchmarking, value engineering, total quality management, activity based costing, concurrent engineering, statistical quality control, systems engineering, and organization treated today as related but separate tools and concepts. The reader should gain an understanding of how these tools…mehr
This book develops a quantitative structured methodology for managing the development of new products for highly competitive markets. Particular attention has been given to integrating a number of experimental tools and concepts within a common framework including marketing research. Taguchi methods, value benchmarking, value engineering, total quality management, activity based costing, concurrent engineering, statistical quality control, systems engineering, and organization treated today as related but separate tools and concepts. The reader should gain an understanding of how these tools complement each other and when they can be used most effectively to aid product decision making.
Product realization in the global marketplace. Motivation and consumer behaviour. Enterprise model. Definition of quality. Forecasting the value of future products. Total quality management. Product planning and quality deployment. Parameter and tolerance design. Significance of results. Costs. Statistical quality control. Case study one: NIB1 single attribute thin film. Case study two: NIB2 problems. Case study three: LIB problems. Case study four: Significance testing multiple attribute problems. Case study five: Error analysis for direct value (DV) method. Case study six: Use of the direct value (DV) method when considering multiple attributes jointly. Appendix A: probability and statistics. Appendix B: design of experiments.
Product realization in the global marketplace. Motivation and consumer behaviour. Enterprise model. Definition of quality. Forecasting the value of future products. Total quality management. Product planning and quality deployment. Parameter and tolerance design. Significance of results. Costs. Statistical quality control. Case study one: NIB1 single attribute thin film. Case study two: NIB2 problems. Case study three: LIB problems. Case study four: Significance testing multiple attribute problems. Case study five: Error analysis for direct value (DV) method. Case study six: Use of the direct value (DV) method when considering multiple attributes jointly. Appendix A: probability and statistics. Appendix B: design of experiments.
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