9780079137814-0079137814-Quality Improvement Through Planned Experimentation

Quality Improvement Through Planned Experimentation

ISBN-13: 9780079137814
ISBN-10: 0079137814
Edition: 2
Author: Ronald Moen, Thomas Nolan, Lloyd Provost
Publication date: 1998
Publisher: McGraw-Hill Professional
Format: Hardcover 464 pages
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Book details

ISBN-13: 9780079137814
ISBN-10: 0079137814
Edition: 2
Author: Ronald Moen, Thomas Nolan, Lloyd Provost
Publication date: 1998
Publisher: McGraw-Hill Professional
Format: Hardcover 464 pages

Summary

Quality Improvement Through Planned Experimentation (ISBN-13: 9780079137814 and ISBN-10: 0079137814), written by authors Ronald Moen, Thomas Nolan, Lloyd Provost, was published by McGraw-Hill Professional in 1998. With an overall rating of 4.4 stars, it's a notable title among other Management (Management & Leadership, Industrial, Manufacturing & Operational Systems, Engineering) books. You can easily purchase or rent Quality Improvement Through Planned Experimentation (Hardcover) from BooksRun, along with many other new and used Management books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The methodology engineers need to plan and conduct experiments to quantify cause-and-effect mechanisms in complex systems

Updated to include the latest in experiment design, this breakthrough resource offers a comprehensive framework for the sequential building of knowledge -- a model for improvement -- that is key to making improvements. Step by step, you discover the tools and properties of sound experiments, the methods of planned experiments, and their application to the design of new and improved products and services.

Case studies of experiments in action, and forms and checklists facilitate the adoption of the methods into your daily work. The Second Edition includes new and expanded coverage of how to:


* Test changes to products, processes, and systems
*Evaluate the measurement process
* Extend planned experiments to large systems
*Apply experiments to new product design

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