Design for Manufacturability and Statistical Design
Author | : Michael Orshansky |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2010-11-24 |
ISBN-10 | : 1441940448 |
ISBN-13 | : 9781441940445 |
Rating | : 4/5 (48 Downloads) |
Download or read book Design for Manufacturability and Statistical Design written by Michael Orshansky and published by Springer. This book was released on 2010-11-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design for Manufacturability and Statistical Design: A Comprehensive Approach presents a comprehensive overview of methods that need to be mastered in understanding state-of-the-art design for manufacturability and statistical design methodologies. Broadly, design for manufacturability is a set of techniques that attempt to fix the systematic sources of variability, such as those due to photolithography and CMP. Statistical design, on the other hand, deals with the random sources of variability. Both paradigms operate within a common framework, and their joint comprehensive treatment is one of the objectives of this book and an important differentation.