Process Quality Control
Author: Ellis Raymond Ott
Publisher: McGraw-Hill Companies
Published: 1990
Total Pages: 504
ISBN-13:
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Process Quality Control
Author: Ellis Raymond Ott
Publisher: McGraw-Hill Companies
Published: 1975
Total Pages: 408
ISBN-13:
DOWNLOAD EBOOKTroubleshooting tool for manufacturing processes.A hands-on, solutions-oriented guide, Process QualityControl, Third Edition, by Ellis R, Ott, Edward G.Schilling, and Dean V. Neubauer, gives you a systematicapproach to gathering and analyzing data fortroubleshooting manufacturing processes. This classicemphasizes short term and long term variability,particularly with regard to process capability andperformance. The third edition gives you many newanalytical methods, insights into their application, andcase studies. These techniques include toleranceintervals, a test for the comparison of long term andshort term variation, simplified attribute sample sizedetermination, and an updated discussion of sampling.You'll also find an expanded discussion of control charts,including trend charts, manual adjustment charts, andshort run charts. While the emphasis is on processcontrol, you'll also find significant material on analysis of means.
In-Process Quality Control for Manufacturing
Author: William Barkman
Publisher: CRC Press
Published: 1989-02-22
Total Pages: 293
ISBN-13: 1482224089
DOWNLOAD EBOOKThis book provides a common sense computer-oriented, determinstic manufacturing approach, which employs statistics but does not require a background in this area, theoretical mathematics or computer science to understand and apply. In a clear, easy-to-read style, this reference text highlights critical parameters that have a major impact upon process quality and identifies sensors for parameter monitoring; discusses appropriate applications of deterministic techniques to many manifacturing situations ranging from simple to complex; includes chapter summaries, helpful illustrations and numerous citations to ehnance comprehension and facilitate further research. Written from the perspective of a practioner who 'knows how to make parts'; presenting practical solutions to manufacturing problems it is essential reading for industrial, quality control, electrical and electronics, mechancial, manufacturing and systems engineers/managers and undergraduate and graduate-level students in the above areas.
Quality Control with R
Author: Emilio L. Cano
Publisher: Springer
Published: 2015-11-20
Total Pages: 373
ISBN-13: 3319240463
DOWNLOAD EBOOKPresenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.
Managing, Controlling, and Improving Quality
Author: Douglas C. Montgomery
Publisher: Wiley
Published: 2010-04-12
Total Pages: 0
ISBN-13: 9780471697916
DOWNLOAD EBOOKThis book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.
In-Process Quality Control for Manufacturing
Author: William Barkman
Publisher: CRC Press
Published: 1989-02-22
Total Pages: 304
ISBN-13: 9780824780548
DOWNLOAD EBOOKIntroduction -- Hardware Integration -- Software Integration -- Integration of Statistical Methods -- Facility Integration -- Summary -- References -- CHAPTER 11: Factory of the Future -- Introduction -- Manufacturing Cells -- Flexible Manufacturing Systems -- Material Handling -- Fault Tolerance -- References -- Index
Fundamentals of Quality Control and Improvement 2e
Author: Amitava Mitra
Publisher: Custom Pub
Published: 2005-01-01
Total Pages: 682
ISBN-13: 9780759351721
DOWNLOAD EBOOKThis book covers the foundations of modern methods of quality control and improvement that are used in the manufacturing and service industries. Quality is key to surviving tough competition. Consequently, business needs technically competent people who are well-versed in statistical quality control and improvement. This book should serve the needs of students in business and management and students in engineering, technology, and other related disciplines. Professionals will find this book to be a valuable reference in the field.
Standards, Quality Control, and Measurement Sciences in 3D Printing and Additive Manufacturing
Author: Chee Kai Chua
Publisher: Academic Press
Published: 2017-06-03
Total Pages: 270
ISBN-13: 0128134909
DOWNLOAD EBOOKStandards, Quality Control and Measurement Sciences in 3D Printing and Additive Manufacturing addresses the critical elements of the standards and measurement sciences in 3D printing to help readers design and create safe, reliable products of high quality. With 3D printing revolutionizing the process of manufacturing in a wide range of products, the book takes key features into account, such as design and fabrication and the current state and future potentials and opportunities in the field. In addition, the book provides an in-depth analysis on the importance of standards and measurement sciences. With self-test exercises at the end of each chapter, readers can improve their ability to take up challenges and become proficient in a number of topics related to 3D printing, including software usage, materials specification and benchmarking. - Helps the reader understand the quality framework tailored for 3D printing processes - Explains data format and process control in 3D printing - Provides an overview of different materials and characterization methods - Covers benchmarking and metrology for 3D printing
Introduction to Statistical Quality Control
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
Published:
Total Pages: 772
ISBN-13: 1119657075
DOWNLOAD EBOOK"This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"--
Introduction to Statistical Quality Control
Author: Christina M. Mastrangelo
Publisher: Wiley
Published: 1991
Total Pages: 244
ISBN-13:
DOWNLOAD EBOOKRevised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.
