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Design for Manufacturability and Statistical Design

Design for Manufacturability and Statistical Design
Author: Michael Orshansky
Publisher: Springer Science & Business Media
Total Pages: 319
Release: 2007-10-28
Genre: Technology & Engineering
ISBN: 0387690115
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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.

Design for Manufacturability and Yield for Nano-Scale CMOS

Design for Manufacturability and Yield for Nano-Scale CMOS
Author: Charles Chiang
Publisher: Springer Science & Business Media
Total Pages: 277
Release: 2007-06-15
Genre: Technology & Engineering
ISBN: 1402051883
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This book walks the reader through all the aspects of manufacturability and yield in a nano-CMOS process. It covers all CAD/CAE aspects of a SOC design flow and addresses a new topic (DFM/DFY) critical at 90 nm and beyond. This book is a must read book the serious practicing IC designer and an excellent primer for any graduate student intent on having a career in IC design or in EDA tool development.

Design for Excellence in Electronics Manufacturing

Design for Excellence in Electronics Manufacturing
Author: Cheryl Tulkoff
Publisher: John Wiley & Sons
Total Pages: 400
Release: 2021-03-22
Genre: Technology & Engineering
ISBN: 1119109388
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An authoritative guide to optimizing design for manufacturability and reliability from a team of experts Design for Excellence in Electronics Manufacturing is a comprehensive, state-of-the-art book that covers design and reliability of electronics. The authors—noted experts on the topic—explain how using the DfX concepts of design for reliability, design for manufacturability, design for environment, design for testability, and more, reduce research and development costs and decrease time to market and allow companies to confidently issue warranty coverage. By employing the concepts outlined in Design for Excellence in Electronics Manufacturing, engineers and managers can increase customer satisfaction, market share, and long-term profits. In addition, the authors describe the best practices regarding product design and show how the practices can be adapted for different manufacturing processes, suppliers, use environments, and reliability expectations. This important book: Contains a comprehensive review of the design and reliability of electronics Covers a range of topics: establishing a reliability program, design for the use environment, design for manufacturability, and more Includes technical information on electronic packaging, discrete components, and assembly processes Shows how aspects of electronics can fail under different environmental stresses Written for reliability engineers, electronics engineers, design engineers, component engineers, and others, Design for Excellence in Electronics Manufacturing is a comprehensive book that reveals how to get product design right the first time.

Industrial Design of Experiments

Industrial Design of Experiments
Author: Sammy Shina
Publisher: Springer Nature
Total Pages: 391
Release: 2022
Genre: Electronic books
ISBN: 3030862674
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This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE. Presents classical versus Taguchi DoE methodologies as well as techniques developed by the author for successful DoE; Offers a step-wise approach to DoE optimization and interpretation of results; Includes industrial case studies, worked examples and detailed solutions to problems.

Design for Manufacturability

Design for Manufacturability
Author: Artur Balasinski
Publisher: Springer Science & Business Media
Total Pages: 283
Release: 2013-10-05
Genre: Technology & Engineering
ISBN: 1461417619
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This book explains integrated circuit design for manufacturability (DfM) at the product level (packaging, applications) and applies engineering DfM principles to the latest standards of product development at 22 nm technology nodes. It is a valuable guide for layout designers, packaging engineers and quality engineers, covering DfM development from 1D to 4D, involving IC design flow setup, best practices, links to manufacturing and product definition, for process technologies down to 22 nm node, and product families including memories, logic, system-on-chip and system-in-package.

VLSI Design for Manufacturing: Yield Enhancement

VLSI Design for Manufacturing: Yield Enhancement
Author: Stephen W. Director
Publisher: Springer Science & Business Media
Total Pages: 299
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461315212
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One of the keys to success in the IC industry is getting a new product to market in a timely fashion and being able to produce that product with sufficient yield to be profitable. There are two ways to increase yield: by improving the control of the manufacturing process and by designing the process and the circuits in such a way as to minimize the effect of the inherent variations of the process on performance. The latter is typically referred to as "design for manufacture" or "statistical design". As device sizes continue to shrink, the effects of the inherent fluctuations in the IC fabrication process will have an even more obvious effect on circuit performance. And design for manufacture will increase in importance. We have been working in the area of statistically based computer aided design for more than 13 years. During the last decade we have been working with each other, and individually with our students, to develop methods and CAD tools that can be used to improve yield during the design and manufacturing phases of IC realization. This effort has resulted in a large number of publications that have appeared in a variety of journals and conference proceedings. Thus our motivation in writing this book is to put, in one place, a description of our approach to IC yield enhancement. While the work that is contained in this book has appeared in the open literature, we have attempted to use a consistent notation throughout this book.

Analog Statistical Design for Manufacturability

Analog Statistical Design for Manufacturability
Author:
Publisher:
Total Pages: 103
Release: 2020
Genre: Electric filters, Active
ISBN:
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The manufacturing yield, overkill, and defect level limit the feasibility of analog circuits in SoCs. The conventional method of handling process and environmental variation is to assign a design margin such that the design meets specifications at several processes and environmental corners. However, checking only extreme corners limits performance in comparison to the more rigorous statistical approach of the computing manufacturing and quality figure of merit. The statistical approach requires transistor-level simulation of hundreds or even thousands of samples, not just a few corners, and thus is very time consuming. This research offers a method for reducing the time required for the statistical approach by characterizing each of the many samples of building blocks once at the transistor level. The building blocks are scalable such that the statistics are preserved when a building block is adjusted to the requirement of a higher-level design. Many design scenarios can be rapidly explored by assembling and scaling the building block samples without SPICE simulation. This study employs a continuous time low-pass filter design example to extract the requirements of the building block approach. The requirements include a method to assemble building blocks (biquad element for the example) into a filter design while preserving the statistics that would have been extracted by simulation of the entire filter at the transistor level. The assembly method for both linear and nonlinear response is proposed.

Design for Manufacturability Handbook

Design for Manufacturability Handbook
Author: James G. Bralla
Publisher: McGraw-Hill Companies
Total Pages: 1382
Release: 1999
Genre: Technology & Engineering
ISBN:
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Offers a blueprint for various stages of the manufacturing process. This handbook provides directions for solid and practical design, including a quick check of do's and don'ts as well as specific tips for developing the most producible design. It also includes the details needed to forecast a successful design project.

Statistical Design of Experiments with Engineering Applications

Statistical Design of Experiments with Engineering Applications
Author: Kamel Rekab
Publisher: CRC Press
Total Pages: 257
Release: 2005-04-08
Genre: Mathematics
ISBN: 1574446258
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In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.