Title: Product Management : Value, Quality, Cost, Price, Profit and Organization Author: Harry E. Cook ISBN: 0412799405 / 9780412799402 Format: Hard Cover Pages: 430 Publisher: CHAPMAN & HALL Year: 1997 Availability: In Stock
Description
Feature
Contents
In today's highly competive markets, companies must favourably differentiate their products by continually developing, testing and adopting fresh ideas. This book describes how to plan new products in terms of their forecasted profitability, how competing products influence the bottom-line, how to design and anlyze experiments to determine the best subsystem and component alternatives from a strategic perspective, and how to structure teams to manage the process.
This book is essential reading for involved in the design and manufacture of new products, including engineers, product designers and researchers in the manufacturing and management.
In detail, Product Management :
• Defines and quantifies thekey elements of the customer/company needs loop
• Covers all aspects of product and quality management
• Establishes the relationships between the attributes of a product and its value
• Integrates the important product development tools of conjoint analysis, quality deployment, Taguchi methods, statistical process control, activity based accounting and sytems engineering
• Develops the concept of strategic quality deployment as a nested set of experiments for guiding product development
• Provides numerous case studies
Preface
Acknowledgements
Chapter 1 : Product Realization in the Global Marketplace Chapter 2 : Motivation and Consumer Behavior Chapter 3 : Enterprise Model Chapter 4 : Definition of Quality Chapter 5 : Forecasting the Value of Future Products Chapter 6 : Total Quality Management Chapter 7 : Product Planning and Quality Deployment Chapter 8 : Parameter and Tolerance Design Chapter 9 : Significance of Results Chapter 10 : Costs Chapter 11 : Statistical Quality Control
Case Study 1. NIB1 Single-Attribute Thin Film
Case Study 2. NIB2 Problem
Case Study 3. LIB Problem
Case Study 4. Significance Testing a Multi Attribute Problem
Case Study 5. Error Analysis for Direct Value (DV) Method
Case Study 6. Use of the Direct Value (DV) Method When Considering Multiple Attributes Jointly
Appendix A : Probability and Statistics
A.1 : Concept of Probability
A.2 : Frequency Functions, Expectations, and the Normal Distribution
A.3 : Central Limit Theorem
A.4 : Normal Probability Plots
A.5 : Hypothesis Testing
A.6 : The Chi-Squared Distribution
A.7 : The F Distribution (Significance Between Two Measured Sample Variances)
A.8 : Selecting Points at Random From Distributions
A.9 : Significance of Coefficients
Appendix B : Design of Experiments
B.1 : Introduction
B.2 : The Lambda Set Point Series
B.3 : Comparison to Taylor’s Series
B.4 : The Phi Set Point Series
B.5 : Baseline Considerations
B.6 : [X] Array Construction Rules
B.7 : Comparisons With Full Factorial Arrays
B.8 : Designing an Experiment
B.9 : Student’s t for Coefficients
B.10 : [X] Versus [X] for Significance Testing