Multivariate Statistical Process Control

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Multivariate Statistical Process Control

Author : Zhiqiang Ge,Zhihuan Song
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 54,6 Mb
Release : 2012-11-28
Category : Technology & Engineering
ISBN : 9781447145134

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Multivariate Statistical Process Control by Zhiqiang Ge,Zhihuan Song Pdf

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.

Multivariate Statistical Process Control with Industrial Applications

Author : Robert L. Mason,John C. Young
Publisher : SIAM
Page : 271 pages
File Size : 48,9 Mb
Release : 2002-01-01
Category : Technology & Engineering
ISBN : 9780898714968

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Multivariate Statistical Process Control with Industrial Applications by Robert L. Mason,John C. Young Pdf

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.

Multivariate Statistical Quality Control Using R

Author : Edgar Santos-Fernández
Publisher : Springer Science & Business Media
Page : 134 pages
File Size : 40,8 Mb
Release : 2012-09-22
Category : Computers
ISBN : 9781461454533

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Multivariate Statistical Quality Control Using R by Edgar Santos-Fernández Pdf

​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.

Multivariate Quality Control

Author : Camil Fuchs,Ron S. Kenett
Publisher : CRC Press
Page : 224 pages
File Size : 55,6 Mb
Release : 1998-04-22
Category : Business & Economics
ISBN : 9781482273731

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Multivariate Quality Control by Camil Fuchs,Ron S. Kenett Pdf

Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlightin

Introduction to Statistical Process Control

Author : Peihua Qiu
Publisher : CRC Press
Page : 520 pages
File Size : 43,5 Mb
Release : 2013-10-14
Category : Business & Economics
ISBN : 9781482220414

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Introduction to Statistical Process Control by Peihua Qiu Pdf

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

Introduction to Statistical Process Control

Author : Muhammad Aslam,Aamir Saghir,Liaquat Ahmad
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 44,8 Mb
Release : 2020-09-16
Category : Mathematics
ISBN : 9781119528456

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Introduction to Statistical Process Control by Muhammad Aslam,Aamir Saghir,Liaquat Ahmad Pdf

An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation Introduction to Statistical Process Control examines various types of control charts that are typically used by engineering students and practitioners. This book helps readers develop a better understanding of the history, implementation, and use-cases. Students are presented with varying control chart techniques, information, and roadmaps to ensure their control charts are operating efficiently and producing specification-confirming products. This is the essential text on the theories and applications behind statistical methods and control procedures. This eight-chapter reference breaks information down into digestible sections and covers topics including: ● An introduction to the basics as well as a background of control charts ● Widely used and newly researched attributes of control charts, including guidelines for implementation ● The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states ● An overview of attribute control charts based on memory statistics ● The development of control charts using EQMA statistics For a solid understanding of control methodologies and the basics of quality assurance, Introduction to Statistical Process Control is a definitive reference designed to be read by practitioners and students alike. It is an essential textbook for those who want to explore quality control and systems design.

Statistical Process Control for Real-World Applications

Author : William A. Levinson
Publisher : CRC Press
Page : 272 pages
File Size : 51,5 Mb
Release : 2010-12-21
Category : Business & Economics
ISBN : 9781439820018

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Statistical Process Control for Real-World Applications by William A. Levinson Pdf

The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically and explain the methodology to suppliers and custom

Multivariate Analysis in the Pharmaceutical Industry

Author : Ana Patricia Ferreira,Jose C. Menezes,Mike Tobyn
Publisher : Academic Press
Page : 464 pages
File Size : 42,8 Mb
Release : 2018-04-24
Category : Medical
ISBN : 9780128110669

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Multivariate Analysis in the Pharmaceutical Industry by Ana Patricia Ferreira,Jose C. Menezes,Mike Tobyn Pdf

Multivariate Analysis in the Pharmaceutical Industry provides industry practitioners with guidance on multivariate data methods and their applications over the lifecycle of a pharmaceutical product, from process development, to routine manufacturing, focusing on the challenges specific to each step. It includes an overview of regulatory guidance specific to the use of these methods, along with perspectives on the applications of these methods that allow for testing, monitoring and controlling products and processes. The book seeks to put multivariate analysis into a pharmaceutical context for the benefit of pharmaceutical practitioners, potential practitioners, managers and regulators. Users will find a resources that addresses an unmet need on how pharmaceutical industry professionals can extract value from data that is routinely collected on products and processes, especially as these techniques become more widely used, and ultimately, expected by regulators. Targets pharmaceutical industry practitioners and regulatory staff by addressing industry specific challenges Includes case studies from different pharmaceutical companies and across product lifecycle of to introduce readers to the breadth of applications Contains information on the current regulatory framework which will shape how multivariate analysis (MVA) is used in years to come

Multivariate Statistical Process Control

Author : Sijbrand Jacobus Wierda
Publisher : Unknown
Page : 246 pages
File Size : 45,7 Mb
Release : 1994
Category : Multivariate analysis
ISBN : 9001948804

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Multivariate Statistical Process Control by Sijbrand Jacobus Wierda Pdf

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Author : Fouzi Harrou,Ying Sun,Amanda S. Hering,Muddu Madakyaru,abdelkader Dairi
Publisher : Elsevier
Page : 330 pages
File Size : 51,7 Mb
Release : 2020-07-03
Category : Technology & Engineering
ISBN : 9780128193662

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches by Fouzi Harrou,Ying Sun,Amanda S. Hering,Muddu Madakyaru,abdelkader Dairi Pdf

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

Multivariate Statistical Methods in Quality Management

Author : Kai Yang,Jayant Trewn
Publisher : McGraw Hill Professional
Page : 318 pages
File Size : 53,6 Mb
Release : 2004-03-17
Category : Technology & Engineering
ISBN : 9780071501378

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Multivariate Statistical Methods in Quality Management by Kai Yang,Jayant Trewn Pdf

Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods

Statistical Process Control in Automated Manufacturing

Author : Bert Keats
Publisher : CRC Press
Page : 317 pages
File Size : 46,6 Mb
Release : 2020-11-26
Category : Business & Economics
ISBN : 9781000147155

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Statistical Process Control in Automated Manufacturing by Bert Keats Pdf

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

An Introduction to Acceptance Sampling and SPC with R

Author : John Lawson
Publisher : CRC Press
Page : 299 pages
File Size : 49,6 Mb
Release : 2021-02-25
Category : Technology & Engineering
ISBN : 9781000336559

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An Introduction to Acceptance Sampling and SPC with R by John Lawson Pdf

An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; and the design and analysis of experiments for process troubleshooting and discovering ways to improve process output. Origins of statistical quality control and the technical topics presented in the remainder of the book are those recommended in the ANSI/ASQ/ISO guidelines and standards for industry. The final chapter ties everything together by discussing modern management philosophies that encourage the use of the technical methods presented earlier. In the modern world sampling plans and the statistical calculations used in statistical quality control are done with the help of computers. As an open source high-level programming language with flexible graphical output options, R runs on Windows, Mac and Linux operating systems, and has add-on packages that equal or exceed the capability of commercial software for statistical methods used in quality control. In this book, we will focus on several R packages. In addition to demonstrating how to use R for acceptance sampling and control charts, this book will concentrate on how the use of these specific tools can lead to quality improvements both within a company and within their supplier companies. This would be a suitable book for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or a supplemental text for a graduate engineering course that included quality control topics.

Multivariate Analysis of Quality

Author : Harald Martens,M. Martens
Publisher : John Wiley & Sons
Page : 476 pages
File Size : 40,5 Mb
Release : 2001-02-08
Category : Science
ISBN : 0471974285

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Multivariate Analysis of Quality by Harald Martens,M. Martens Pdf

Die Datenanalyse mit mehreren Variablen gehört zum Alltag der Chemometrie. Die Autoren sind ausgezeichnete Spezialisten auf dem Gebiet der multivariaten Analyse. Sie geben hier in saloppem Stil und aufgelockert durch zahlreiche witzige Cartoons eine verständliche Einführung in dieses Thema. Erläutert werden eine Reihe von Anwendungen bei der Qualitätskontrolle, insbesondere in der Nahrungsmittelindustrie. Mit zahlreichen Kontrollfragen und Übungsaufgaben!

Multivariate Statistical Analysis

Author : Mukhopadhyay Parimal
Publisher : World Scientific Publishing Company
Page : 568 pages
File Size : 49,9 Mb
Release : 2008-11-25
Category : Mathematics
ISBN : 9789813107113

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Multivariate Statistical Analysis by Mukhopadhyay Parimal Pdf

This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each. With its roots in matrix algebra, for which a separate chapter has been added as an appendix, the book includes both data-oriented techniques and a reasonable coverage of classical methods supplemented by comments about robustness and general practical applicability. It also illustrates the methods of numerical calculations at various stages.This self-contained book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians.The author is a former Professor of the Indian Statistical Institute, India.