Statistical Process Monitoring And Optimization

Author : Geoffrey Vining
Publisher : CRC Press
ISBN 13 : 1482276763
Total Pages : 504 pages
Book Rating : 4.63/5 ( download)

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Download or read book Statistical Process Monitoring and Optimization written by Geoffrey Vining and published by CRC Press. This book was released on 1999-11-24 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range o

Author : Geoffrey Vining
Publisher : CRC Press
ISBN 13 : 9780824760076
Total Pages : 520 pages
Book Rating : 4.77/5 ( download)

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Download or read book Statistical Process Monitoring and Optimization written by Geoffrey Vining and published by CRC Press. This book was released on 1999-11-24 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range of statistical methods and emphasizes practical applications of quality control systems in manufacturing, organization and planning.

Author : Bianca M. Colosimo
Publisher : CRC Press
ISBN 13 : 1420010700
Total Pages : 350 pages
Book Rating : 4.01/5 ( download)

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Download or read book Bayesian Process Monitoring, Control and Optimization written by Bianca M. Colosimo and published by CRC Press. This book was released on 2006-11-10 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and dev

Author : Fouzi Harrou
Publisher : Elsevier
ISBN 13 : 0128193662
Total Pages : 330 pages
Book Rating : 4.62/5 ( download)

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Download or read book Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches written by Fouzi Harrou and published by Elsevier. This book was released on 2020-07-03 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven based techniques including multivariate statistical techniques and deep learning-based methods Includes case studies and comparison of different methods

Author : Christina M. Mastrangelo
Publisher : Wiley
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.27/5 ( download)

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Download or read book Introduction to Statistical Quality Control written by Christina M. Mastrangelo and published by Wiley. This book was released on 1991 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Robert L. Mason
Publisher : SIAM
ISBN 13 : 0898714966
Total Pages : 271 pages
Book Rating : 4.68/5 ( download)

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Download or read book Multivariate Statistical Process Control with Industrial Applications written by Robert L. Mason and published by SIAM. This book was released on 2002-01-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Peihua Qiu
Publisher : CRC Press
ISBN 13 : 1482220415
Total Pages : 520 pages
Book Rating : 4.14/5 ( download)

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Download or read book Introduction to Statistical Process Control written by Peihua Qiu and published by CRC Press. This book was released on 2013-10-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon

Author : Enrique del Castillo
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 390 pages
Book Rating : 4.70/5 ( download)

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Download or read book Statistical Process Adjustment for Quality Control written by Enrique del Castillo and published by Wiley-Interscience. This book was released on 2002-04-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality control is a major concern and the best method for ensuring proper quality is to establish process adjustments. This text presents statistical methods for process adjustment and their relation to the classical methods of process monitoring.

Author : Del Castillo
Publisher :
ISBN 13 : 9788184894073
Total Pages : 480 pages
Book Rating : 4.74/5 ( download)

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Download or read book Process Optimization: A Statistical Approach written by Del Castillo and published by . This book was released on 2009-10-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Douglas C. Montgomery
Publisher : Wiley
ISBN 13 : 9780470449486
Total Pages : 0 pages
Book Rating : 4.89/5 ( download)

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Download or read book Student Solutions Manual to accompany Introduction to Statistical Quality Control written by Douglas C. Montgomery and published by Wiley. This book was released on 2008-12-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Student Solutions Manual is meant to accompany the trusted guide to the statistical methods for quality control, Introduction to Statistical Quality Control, Sixth Edition. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement. With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.