Process Quality Control PDF Download

Author: Ellis Raymond Ott
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 504

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Book Description

Author: William Barkman
Publisher: CRC Press
ISBN: 1482224089
Category : Technology & Engineering
Languages : en
Pages : 293

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Book Description
This 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.

Author: Ellis Raymond Ott
Publisher:
ISBN:
Category : Process control
Languages : en
Pages : 0

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Book Description

Author: William Barkman
Publisher: CRC Press
ISBN: 9780824780548
Category : Technology & Engineering
Languages : en
Pages : 304

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Book Description
Introduction -- 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

Author: Larry Webber
Publisher: John Wiley & Sons
ISBN: 1118051033
Category : Business & Economics
Languages : en
Pages : 384

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Book Description
So you’ve been asked to lead a quality control initiative? Or maybe you’ve been assigned to a quality team. Perhaps you’re a CEO whose main concern is to make your company faster, more efficient, and less expensive. Whatever your role is, quality control is a critical concept in every industry and profession. Quality Control For Dummies is the straightforward, easy guide to improving your company’s quality. It covers all of today’s available options and provides expert techniques for introducing quality methods to your company, collecting data, designing quality processes, and more. This hands-on guide gives you all the tools you’ll ever need to enhance your company’s quality, including: Understanding the importance of quality standards Putting fundamental quality control methods to use Listening to your customer about quality issues Whipping quality control into shape with Lean Working with value stream mapping Focusing on the 5S method Supplement a process with Kanban Fixing tough problems with Six Sigma Using QFD to win customers over Improving you company with TOC This invaluable reference is written from an unbiased viewpoint, giving you all the facts about each theory with no fuzzy coverings. It also includes steps for incorporating quality into a new product and Web sites packed with quality control tips and techniques. With Quality Control For Dummies, you’ll be able to speed up production, eliminate waste, and save money!

Author: Stefan Wagner
Publisher: Springer Science & Business Media
ISBN: 3642385710
Category : Computers
Languages : en
Pages : 210

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Book Description
Quality is not a fixed or universal property of software; it depends on the context and goals of its stakeholders. Hence, when you want to develop a high-quality software system, the first step must be a clear and precise specification of quality. Yet even if you get it right and complete, you can be sure that it will become invalid over time. So the only solution is continuous quality control: the steady and explicit evaluation of a product’s properties with respect to its updated quality goals. This book guides you in setting up and running continuous quality control in your environment. Starting with a general introduction on the notion of quality, it elaborates what the differences between process and product quality are and provides definitions for quality-related terms often used without the required level of precision. On this basis, the work then discusses quality models as the foundation of quality control, explaining how to plan desired product qualities and how to ensure they are delivered throughout the entire lifecycle. Next it presents the main concepts and techniques of continuous quality control, discussing the quality control loop and its main techniques such as reviews or testing. In addition to sample scenarios in all chapters, the book is rounded out by a dedicated chapter highlighting several applications of different subsets of the presented quality control techniques in an industrial setting. The book is primarily intended for practitioners working in software engineering or quality assurance, who will benefit by learning how to improve their current processes, how to plan for quality, and how to apply state-of-the-art quality control techniques. Students and lecturers in computer science and specializing in software engineering will also profit from this book, which they can use in practice-oriented courses on software quality, software maintenance and quality assurance.

Author: Emilio L. Cano
Publisher: Springer
ISBN: 3319240463
Category : Business & Economics
Languages : en
Pages : 349

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Book Description
Presenting 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.

Author: Christina M. Mastrangelo
Publisher: Wiley
ISBN:
Category : Business & Economics
Languages : en
Pages : 244

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Book Description
Revised 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.

Author: Walter A. Shewhart
Publisher: Courier Corporation
ISBN: 048617087X
Category : Mathematics
Languages : en
Pages : 178

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Book Description
Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback edition.

Author: Ellis R. Ott
Publisher: Quality Press
ISBN: 1953079857
Category : Business & Economics
Languages : en
Pages : 673

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Book Description
Ellis Ott taught generations of quality practitioners to be explorers of the truth through the collection and graphical portrayal of data. From a simple plea to "plot the data" to devising a graphical analytical tool called the analysis of means (ANOM), Ott demonstrated that process knowledge is to be gained by seeking the information contained within the data.In this newest version of Ott's classic text, the authors have strived to continue down the path that he created for others to follow. Additions to this revised edition include: the use of dot plots as an alternative to histograms; digidot plots; adding events to charts; emphasis on the role that acceptance control charts play in controlling risks and the computation of average run length (ARL); a new chapter devoted to process capability, process performance, and process improvement, including the use of confidence intervals for process capability metrics; narrow-limit gauging as another means of assessing the capability of a process; Six Sigma methodology; design resolution; scatter plot matrices as applied to datasets of higher dimensions; and a new chapter on measurement studies.