<p>Advance praise for Developing Products in Half the Time Second Edition New Rules, New Tools Preston G. Smith * Donald G. Reinertsen "This is an exceptional book! Get a new highlighter before you start. There are so many 'ah ha's' in each chapter you will never make it through with an old one." Don LaCombe, Ford Motor Company, Product Development Process Leadership "An excellent book with a strong treatment of the cycle-time consequences of overloading your development capacity. It provides powerful and practical concepts for dealing with this issue." Andrew Aquart, Director Product Development, Cordis, a Johnson &amp; Johnson Company "This is practical, useful stuff for people competing in highly competitive fast moving business." Dr. Paul Borrill, Chief Scientist, Sun Microsystems "3M has absorbed many of the tools from the original edition, and this new one will be even more useful. The topic of incremental innovation is crucial to us, and I really appreciate its balanced treatment." Ronald H. Kubinski, Manager New Product Commercialization Services, 3M Company "As the authors correctly point out, the Fuzzy Front End is the least expensive place to reduce cycle time. This book is one of the only sources of concepts, methods, and metrics for compressing this critical portion of the development process." David M. Lewis, Product Manager, Eastman Kodak Co. "Using these tools we've more than cut our time to market in half. The new edition of this classic crystallizes the synergy of the fast-to-market techniques, and the icons in the margins highlight the opportunities and pitfalls." Mike Brennan , Vice President of Product Development, Black &amp; Decker</p>

Developing Products in Half the Time

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Van Nostrand Reinhold Internat

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Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form. * Features new and updated material, including cases and a larger focus on multivariate analysis. * Uses simple analysis tools for practical implementation on the job. * Targets experiment planning as the groundwork for quality experiments.

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