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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
Author: Camil Fuchs
Publisher: CRC Press
ISBN: 148227373X
Category : Business & Economics
Languages : en
Pages : 224
Get Book
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
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.
Author: John Lawson
Publisher: CRC Press
ISBN: 1000336557
Category : Technology & Engineering
Languages : en
Pages : 299
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Book Description
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.
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: Kai Yang
Publisher: McGraw Hill Professional
ISBN: 9780071501378
Category : Technology & Engineering
Languages : en
Pages : 299
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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
Author: CAMIL. KENETT FUCHS (RON S.)
Publisher: CRC Press
ISBN: 9780367579326
Category :
Languages : en
Pages : 224
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Book Description
This solutions-oriented reference provides a sound theoretical foundation as well as practical tools for the effective, efficient analysis of multivariate data-employing case studies and MINITAB computer macros throughout to illustrate basic and advanced quality control methods. Presenting both standard and new analytical and graphical techniques for data analysis. Multivariate Quality Control offers a unique approach to quality control that relies on statistical tolerance regions...discusses computer graphic analysis techniques...introduces fundamental quality control issues...reviews inferential methods in the multivariate normal case and gives analysis techniques for externally assigned targets...furnishes step-by-step examples of process capability studies on multivariate data...compares newly collected observations to targets determined from a reference sample...shows how to analyze data with multivariate control charts...supplies methods for detecting variables that cause out-of-control signals...and more. Written by two internationally regarded authorities. Multivariate Quality Control is a useful, hands-on resource for quality, quality control, reliability, manufacturing, process and industrial engineers and managers; industrial statisticians; and upper-level undergraduate and graduate students in these disciplines. Book jacket.
Author: Camil Fuchs
Publisher: CRC Press
ISBN: 9780824799397
Category : Business & Economics
Languages : en
Pages : 232
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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 highlighting multivariate profile charts.
Author: Carlo Lauro
Publisher: Springer Science & Business Media
ISBN: 3642487106
Category : Business & Economics
Languages : en
Pages : 247
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Book Description
In the last decades, the production of goods and the offer of services have become quite complex activities mostly because of the markets globalisation, of the continuous push to the innovation and of the constant requests from more and more demanding markets. The main objective of a company system has become the achievement of the quality for the business management cycle. This cycle goes from the design (Plan) to the production (Do), from the control (Check) to the man agement (Action), as well as to the marketing and distribution. Nowadays, the Total Quality of the company system is evaluated, according to the ISO 9000 regulations, in terms of its capacity to adjust the design and the pro duction to the needs expressed (explicitly or implictly) by the final users of a product/service. In this process, the use of statistical techniques is essential not only in the classical approach of Quality Control of a product but also, and most importantly, in the Quality Design oriented to the satisfaction of customers. Thus, Total Quality refers to the global capacity of a company to fit its system to the real needs of its customers by designing products which are able to match the customers' taste and by implementing a statistical control of both the product and the Customer Satisfaction. In such a process of design and evaluation, several statistical variables are involved and with a different nature (numerical, categorical, ordinal).
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: Harald Martens
Publisher: John Wiley & Sons
ISBN: 9780471974284
Category : Science
Languages : en
Pages : 476
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Book Description
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!
