A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality
This volume contains virtually all the information an engineer would need to function as a quality engineer. The author covers management methods and statistical methods of quality in an integrative manner unlike other books on the subject, which focus primarily on one of the two areas of quality. Illustrates the use of quality methods with many real world examples drawn from the author's consulting work. Helps students understand and solve real problems with mini projects throughout. Uses a reader-friendly writing style that makes material more approachable and encourages self-study. Covers the must-know fundamentals of probability and statistics in one chapter (Chapter 2). Makes extensive use of computer software to illustrate the use of computer in solving quality problems. A useful reference for engineers and technical personnel in industry wanting to learn the tools of quality; also for candidates preparing for the exams to qualify as a certified quality engineer (CQE) of the Am. Soc. Of Quality.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
acceptance analysis assignable average become calculated called causes changes Chapter characteristics chosen combination computed continuous control chart control limits cost created defectives defined described determine discussed distribution effect employees engineering error estimate evaluate example experiment factors failure Figure function given gives goals identified implemented important improvement increases indicate individual inspection interaction interval known limits material mean measure meet methods needs normal distribution observations obtained operators organization parameters performance plot population possible probability problem projects quality cost R-chart random variable referred rejected relationship reliability represent requirements response sampling plan selected shown shows situations Solution specifications standard deviation statistic Step supplier Table taken tion tolerance treatment understand units