Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of Resources
Written by longtime experimental design guru Thomas B. Barker and experimental development/Six Sigma expert Andrew Milivojevich, Quality by Experimental Design, Fourth Edition shows how to design and analyze experiments statistically, drive process and product innovation, and improve productivity. The book presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models.
New to the Fourth Edition
A Proven, Practical Guide for Newcomers and Seasoned Practitioners in Engineering, Applied Science, Quality, and Six Sigma
This bestselling, applied text continues to cover a broad range of experimental designs for practical use in applied research, quality and process engineering, and product development. With its easy-to-read, conversational style, the book is suitable for any course in applied statistical experimental design or in a Six Sigma program.
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Thomas B. Barker is a professor emeritus at Rochester Institute of Technology (RIT), where he taught for 35 years before retiring in 2005. Prior to RIT, he was an engineer at Xerox. Visit his website for more information.
Andrew Milivojevich, P.Eng., M.Sc., is the president of The Knowledge Management Group Inc. (TKMG), where he manages R&D, Six Sigma, lean workflow simplification, and other business process improvement initiatives for client organizations. He is a fellow of the American Society for Quality (ASQ) and was the first ASQ-certified Six Sigma Black Belt in Canada. Visit his website for more information.
This bestseller shows how to design and analyze experiments statistically, drive process and product innovation, and improve productivity. It presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models. This fourth edition contains four new chapters on mixture experiments, updated computer programs used to perform simulations, and additional exercises. With its easy-to-read, conversational style, the text is suitable for any course in applied statistical experimental design or in a Six Sigma program.
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