Statistical Case Studies for Industrial Process Improvement
Author | : Veronica Czitrom |
Publisher | : SIAM |
Total Pages | : 541 |
Release | : 1997-01-01 |
ISBN-10 | : 0898719763 |
ISBN-13 | : 9780898719765 |
Rating | : 4/5 (765 Downloads) |
Download or read book Statistical Case Studies for Industrial Process Improvement written by Veronica Czitrom and published by SIAM. This book was released on 1997-01-01 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics.