Elementary Statistical Quality Control

ISBN-13: 9780367578121 / Angielski / Miękka / 2020 / 480 str.

John T. Burr

Opis

Maintaining the reader-friendly features of its popular predecessor, this second edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting the key concepts of statistical qual

Recenzje

"…does a capable job of updating the first edition and is a solid hands-on guide for the next wave of statistical quality control practitioners. …With detailed examples and a few problems at the end of most chapters, this book gives learning practitioners a good starting point for the key points of statistical quality control, especially in emphasizing the importance of characterizing and adjusting for variability in processes and avoiding common pitfalls when making decisions from observed data. …it is a worthwhile addition to the reference shelf of quality engineers and practitioners."
-Christine M. Anderson-Cook, Journal of the American Statistical Association

"Its contents are of great interest for engineering, business and industrial professional and students. Good graphical illustrations aid the understanding of the concepts and techniques discussed. The second edition expands the content of the 1976 first edition. I recommend this book for lecturers and students of engineering as a good introductory book on statistical quality control in industry and business."
-Journal of Applied Statistics, June 2006

Spis treści

Why Statistics? Characteristics of Data and How to Describe Them. Simple Probability and Probability Distributions. Control Charts in General. Control Charts for Attributes. Control Charts for Measurements: Process Control. Process Capability. Further Topics in Control Charts and Applications. Acceptance Sampling for Attributes. Some Standard Sampling Plans for Attributes. Sampling by Variables. Tolerances for Mating Parts and Assemblies. Studying Relationships Between Variables by Linear Correlation and Regression. A Few Reliability Concepts. Appendix. Answers to Odd-Numbered Problems. Index.

O autorze

John T. Burr