9781118573594-1118573595-Student Solutions Manual to accompany Introduction to Statistical Quality Control, 7e

Student Solutions Manual to accompany Introduction to Statistical Quality Control, 7e

ISBN-13: 9781118573594
ISBN-10: 1118573595
Edition: 7
Author: Douglas C. Montgomery
Publication date: 2013
Publisher: Wiley
Format: Paperback 368 pages
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Book details

ISBN-13: 9781118573594
ISBN-10: 1118573595
Edition: 7
Author: Douglas C. Montgomery
Publication date: 2013
Publisher: Wiley
Format: Paperback 368 pages

Summary

Student Solutions Manual to accompany Introduction to Statistical Quality Control, 7e (ISBN-13: 9781118573594 and ISBN-10: 1118573595), written by authors Douglas C. Montgomery, was published by Wiley in 2013. With an overall rating of 4.3 stars, it's a notable title among other Industrial, Manufacturing & Operational Systems (Engineering) books. You can easily purchase or rent Student Solutions Manual to accompany Introduction to Statistical Quality Control, 7e (Paperback) from BooksRun, along with many other new and used Industrial, Manufacturing & Operational Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $20.85.

Description

This is the Student Solutions Manual to accompany Introduction to Statistical Quality Control, 7th Edition.

The Seventh Edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. Statistical Quality Control is best suited for upper-division students in engineering, statistics, business and management science or students in graduate courses.

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