Statistical Process Monitoring And Optimization
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Statistical Process Monitoring And Optimization
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Author : Geoffrey Vining
language : en
Publisher: CRC Press
Release Date : 1999-11-24
Statistical Process Monitoring And Optimization written by Geoffrey Vining and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-11-24 with Business & Economics categories.
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
Bayesian Process Monitoring Control And Optimization
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Author : Bianca M. Colosimo
language : en
Publisher: CRC Press
Release Date : 2006-11-10
Bayesian Process Monitoring Control And Optimization written by Bianca M. Colosimo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-10 with Business & Economics categories.
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
Statistical Process Monitoring And Optimization
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Author : Geoffrey Vining
language : en
Publisher: CRC Press
Release Date : 1999-11-24
Statistical Process Monitoring And Optimization written by Geoffrey Vining and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-11-24 with Technology & Engineering categories.
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.
Student Solutions Manual To Accompany Introduction To Statistical Quality Control
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Author : Douglas C. Montgomery
language : en
Publisher: Wiley
Release Date : 2008-12-31
Student Solutions Manual To Accompany Introduction To Statistical Quality Control written by Douglas C. Montgomery and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-31 with Technology & Engineering categories.
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.
Statistical Process Monitoring Using Advanced Data Driven And Deep Learning Approaches
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Author : Fouzi Harrou
language : en
Publisher: Elsevier
Release Date : 2020-07-03
Statistical Process Monitoring Using Advanced Data Driven And Deep Learning Approaches written by Fouzi Harrou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with Technology & Engineering categories.
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
Distribution Free Methods For Statistical Process Monitoring And Control
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Author : Markos V. Koutras
language : en
Publisher: Springer Nature
Release Date : 2020-03-19
Distribution Free Methods For Statistical Process Monitoring And Control written by Markos V. Koutras and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Technology & Engineering categories.
This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection.
Student Solutions Manual To Accompany Introduction To Statistical Quality Control 7e
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Author : Douglas C. Montgomery
language : en
Publisher: Wiley
Release Date : 2013-02-26
Student Solutions Manual To Accompany Introduction To Statistical Quality Control 7e written by Douglas C. Montgomery and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-26 with Technology & Engineering categories.
This is the Student Solutions Manual to accompany Introduction to Statistical Quality Control, 7th Edition. The Seventh Edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. Statistical Quality Control is best suited for upper-division students in engineering, statistics, business and management science or students in graduate courses.
Mastering Statistical Process Control
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Author : Tim Stapenhurst
language : en
Publisher: Routledge
Release Date : 2013-05-13
Mastering Statistical Process Control written by Tim Stapenhurst and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-13 with Business & Economics categories.
Mastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down with control charts, forgetting that visual representation of data is but a tool and not an end in itself. Mastering SPC demonstrates how statistical tools are applied and used in reality. This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in a wide range of engineering, production and service situations. Key case studies include using SPC to: · Measure quality and human factors · Monitor process performance accurately over long periods · Develop best-practice benchmarks using control charts · Maximise profitability of fixed assets · Improve customer service and satisfaction
Process Optimization A Statistical Approach
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Author : Del Castillo
language : en
Publisher:
Release Date : 2009-10-01
Process Optimization A Statistical Approach written by Del Castillo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-01 with categories.
Multivariate Statistical Process Control
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Author : Zhiqiang Ge
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-28
Multivariate Statistical Process Control written by Zhiqiang Ge and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Technology & Engineering categories.
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.