Multivariate Statistical Process Control with Industrial Applications

Multivariate Statistical Process Control with Industrial Applications PDF 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.

Multivariate Statistical Process Control with Industrial Applications

Multivariate Statistical Process Control with Industrial Applications PDF Author: Robert L. Mason
Publisher: SIAM
ISBN: 0898714966
Category : Technology & Engineering
Languages : en
Pages : 271

Get Book Here

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.

Multivariate Statistical Process Control

Multivariate Statistical Process Control PDF 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.

Multivariate Quality Control

Multivariate Quality Control PDF Author: Camil Fuchs
Publisher: CRC Press
ISBN: 148227373X
Category : Business & Economics
Languages : en
Pages : 224

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Book Description
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

Multivariate Statistical Quality Control Using R

Multivariate Statistical Quality Control Using R PDF Author: Edgar Santos-Fernández
Publisher: Springer Science & Business Media
ISBN: 1461454530
Category : Computers
Languages : en
Pages : 134

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Book Description
​​​​​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.

Introduction to Statistical Process Control

Introduction to Statistical Process Control PDF Author: Peihua Qiu
Publisher: CRC Press
ISBN: 1482220415
Category : Business & Economics
Languages : en
Pages : 520

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Book Description
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

Multivariate Analysis in the Pharmaceutical Industry

Multivariate Analysis in the Pharmaceutical Industry PDF Author: Ana Patricia Ferreira
Publisher: Academic Press
ISBN: 012811066X
Category : Medical
Languages : en
Pages : 465

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Book Description
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

Statistical Process Control for Real-World Applications

Statistical Process Control for Real-World Applications PDF Author: William A. Levinson
Publisher: CRC Press
ISBN: 1439820015
Category : Business & Economics
Languages : en
Pages : 272

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Book Description
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

Introduction to Statistical Process Control

Introduction to Statistical Process Control PDF Author: Muhammad Aslam
Publisher: John Wiley & Sons
ISBN: 1119528453
Category : Mathematics
Languages : en
Pages : 288

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Book Description
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.

Multivariate Statistical Methods in Quality Management

Multivariate Statistical Methods in Quality Management PDF Author: Kai Yang
Publisher: McGraw Hill Professional
ISBN: 0071501371
Category : Technology & Engineering
Languages : en
Pages : 318

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Book Description
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

Statistical Process Control in Automated Manufacturing PDF Author: Bert Keats
Publisher: CRC Press
ISBN: 1000147150
Category : Business & Economics
Languages : en
Pages : 317

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Book Description
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.