Advanced Topics in Statistical Process Control PDF Download
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Author: Donald J. Wheeler
Publisher:
ISBN:
Category : Process control
Languages : en
Pages : 67
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Book Description
Author: Donald J. Wheeler
Publisher:
ISBN:
Category : Process control
Languages : en
Pages : 67
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Book Description
Author: Donald J. Wheeler
Publisher: Spc Press
ISBN: 9780945320630
Category : Business & Economics
Languages : en
Pages : 470
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Book Description
Author: Donald J. Wheeler
Publisher: SPC Press, Incorporated
ISBN: 9780945320692
Category : Process control
Languages : en
Pages : 0
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Book Description
Author: Leonard A. Doty
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 360
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Book Description
A beginning textbook requiring algebra but no calculus. Covers organizing and summarizing data, using the normal curve to solve production problems, basic and special control charts, main discrete probability distributions and sampling plan development, analysis of sampling plans, and the nature and benefits of experimental design. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Harry J. Levinson
Publisher: SPIE Press
ISBN: 9780819430526
Category : Photography
Languages : en
Pages : 210
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Book Description
This text covers lithography process control at several levels, from fundamental through advanced topics. The book is a self-contained tutorial that works both as an introduction to the technology and as a reference for the experienced lithographer. It reviews the foundations of statistical process control as background for advanced topics such as complex processes and feedback. In addition, it presents control methodologies that may be applied to process development pilot lines.
Author: Robert L. Mason
Publisher: SIAM
ISBN: 0898714966
Category : Technology & Engineering
Languages : en
Pages : 271
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Book Description
Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
Author: Paul A. Keller
Publisher: McGraw Hill Professional
ISBN: 0071742506
Category : Business & Economics
Languages : en
Pages : 319
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Book Description
INCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.
Author: Zhiqiang Ge
Publisher: Springer Science & Business Media
ISBN: 1447145135
Category : Technology & Engineering
Languages : en
Pages : 204
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Book Description
Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas. Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1119657113
Category : Einführung
Languages : en
Pages : 773
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Book Description
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
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.
