Statistical Inference On Process Capability Indices
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Statistical Inference On Process Capability Indices
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Author : Michael Perakis
language : en
Publisher:
Release Date : 2016
Statistical Inference On Process Capability Indices written by Michael Perakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Process capability indices are unitless functions of the parameters and the specifications of a process. The parameters of the process are the mean and the standard deviation and the specifications are the lower specification limit, the upper specification limit and the target value. Various indices have been proposed, but the most widely used are Cp, Cpk, Cpm and Cpmk. All the indices involve the parameters of the process which are usually unknown. Hence, we have to estimate the indices via a random sample from the process. Several authors have dealt with the problems of estimation and statistical inference on process capability indices when the distribution of the process is the normal distribution. The aim of the paper is to present the most widely used indices, their estimators and their drawbacks. Furthermore, some new indices are proposed that overcome the drawbacks of the standard indices and the sampling distributions of their estimators are derived via simulation.
Generalized Process Capability Index And Its Statistical Inference
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Author : Mahendra Saha
language : en
Publisher:
Release Date : 2016-07-30
Generalized Process Capability Index And Its Statistical Inference written by Mahendra Saha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-30 with categories.
Process Capability Indices
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Author : Samuel Kotz
language : en
Publisher: Routledge
Release Date : 2017-10-19
Process Capability Indices written by Samuel Kotz and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Business & Economics categories.
A solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.
Handbook Of Multivariate Process Capability Indices
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Author : Ashis Kumar Chakraborty
language : en
Publisher: CRC Press
Release Date : 2021-01-20
Handbook Of Multivariate Process Capability Indices written by Ashis Kumar Chakraborty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Business & Economics categories.
Providing a single-valued assessment of the performance of a process is often one of the greatest challenges for a quality professional. Process Capability Indices (PCIs) precisely do this job. For processes having a single measurable quality characteristic, there is an ample number of PCIs, defined in literature. The situation worsens for multivariate processes, i.e., where there is more than one correlated quality characteristic. Since in most situations quality professionals face multiple quality characteristics to be controlled through a process, Multivariate Process Capability Indices (MPCIs) become the order of the day. However, there is no book which addresses and explains different MPCIs and their properties. The literature of Multivariate Process Capability Indices (MPCIs) is not well organized, in the sense that a thorough and systematic discussion on the various MPCIs is hardly available in the literature. Handbook of Multivariate Process Capability Indices provides an extensive study of the MPCIs defined for various types of specification regions. This book is intended to help quality professionals to understand which MPCI should be used and in what situation. For researchers in this field, the book provides a thorough discussion about each of the MPCIs developed to date, along with their statistical and analytical properties. Also, real life examples are provided for almost all the MPCIs discussed in the book. This helps both the researchers and the quality professionals alike to have a better understanding of the MPCIs, which otherwise become difficult to understand, since there is more than one quality characteristic to be controlled at a time. Features: A complete guide for quality professionals on the usage of different MPCIs. A step by step discussion on multivariate process capability analysis, starting from a brief discussion on univariate indices. A single source for all kinds of MPCIs developed so far. Comprehensive analysis of the MPCIs, including analysis of real-life data. References provided at the end of each chapter encompass the entire literature available on the respective topic. Interpretation of the MPCIs and development of threshold values of many MPCIs are also included. This reference book is aimed at the post graduate students in Industrial Statistics. It will also serve researchers working in the field of Industrial Statistics, as well as practitioners requiring thorough guidance regarding selection of an appropriate MPCI suitable for the problem at hand.
Process Capability Analysis
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Author : Neil W. Polhemus
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Process Capability Analysis written by Neil W. Polhemus and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Business & Economics categories.
Process Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate quality. The book is designed for practitioners who are tasked with insuring a high level of quality for the products and services offered by their organizations. Along with describing the necessary statistical theory, the book illustrates the practical application of the techniques to data that do not always satisfy the standard assumptions. The first two chapters deal with attribute data, where the estimation of quality is restricted to counts of nonconformities. Both classical and Bayesian methods are discussed. The rest of the book deals with variable data, including extensive discussions of both capability indices and statistical tolerance limits. Considerable emphasis is placed on methods for handling non-normal data. Also included are discussions of topics often omitted in discussions of process capability, including multivariate capability indices, multivariate tolerance limits, and capability control charts. A separate chapter deals with the problem of determining adequate sample sizes for estimating process capability. Features: Comprehensive treatment of the subject with consistent theme of estimating percent of nonconforming product or service. Includes Bayesian methods. Extension of univariate techniques to multivariate data. Demonstration of all techniques using Statgraphics data analysis software. Neil Polhemus is Chief Technology Officer at Statgraphics Technology and the original developer of the Statgraphics program for statistical analysis and data visualization. Dr. Polhemus spent 6 years on the faculty of the School of Engineering and Applied Science at Princeton University before moving full-time to software development and consulting. He has taught courses dealing with statistical process control, design of experiments and data analysis for more than 100 companies and government agencies.
Statistical Analysis Of Process Capability Indices With Measurement Errors
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Author : Silvano Bordignon
language : it
Publisher:
Release Date : 2001
Statistical Analysis Of Process Capability Indices With Measurement Errors written by Silvano Bordignon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Process Capability Indices
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Author : Samuel Kotz
language : en
Publisher: Springer
Release Date : 2013-08-21
Process Capability Indices written by Samuel Kotz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-21 with Business & Economics categories.
Handbook Of Multivariate Process Capability Indices
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Author : Ashis Kumar Chakraborty
language : en
Publisher: CRC Press
Release Date : 2021-01-06
Handbook Of Multivariate Process Capability Indices written by Ashis Kumar Chakraborty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-06 with Business & Economics categories.
Providing a single-valued assessment of the performance of a process is often one of the greatest challenges for a quality professional. Process Capability Indices (PCIs) precisely do this job. For processes having a single measurable quality characteristic, there is an ample number of PCIs, defined in literature. The situation worsens for multivariate processes, i.e., where there is more than one correlated quality characteristic. Since in most situations quality professionals face multiple quality characteristics to be controlled through a process, Multivariate Process Capability Indices (MPCIs) become the order of the day. However, there is no book which addresses and explains different MPCIs and their properties. The literature of Multivariate Process Capability Indices (MPCIs) is not well organized, in the sense that a thorough and systematic discussion on the various MPCIs is hardly available in the literature. Handbook of Multivariate Process Capability Indices provides an extensive study of the MPCIs defined for various types of specification regions. This book is intended to help quality professionals to understand which MPCI should be used and in what situation. For researchers in this field, the book provides a thorough discussion about each of the MPCIs developed to date, along with their statistical and analytical properties. Also, real life examples are provided for almost all the MPCIs discussed in the book. This helps both the researchers and the quality professionals alike to have a better understanding of the MPCIs, which otherwise become difficult to understand, since there is more than one quality characteristic to be controlled at a time. Features: A complete guide for quality professionals on the usage of different MPCIs. A step by step discussion on multivariate process capability analysis, starting from a brief discussion on univariate indices. A single source for all kinds of MPCIs developed so far. Comprehensive analysis of the MPCIs, including analysis of real-life data. References provided at the end of each chapter encompass the entire literature available on the respective topic. Interpretation of the MPCIs and development of threshold values of many MPCIs are also included. This reference book is aimed at the post graduate students in Industrial Statistics. It will also serve researchers working in the field of Industrial Statistics, as well as practitioners requiring thorough guidance regarding selection of an appropriate MPCI suitable for the problem at hand.
Statistical Properties Of A System Of Fourth Generation Process Capability Indices C
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Author : Eric D. Benson
language : en
Publisher:
Release Date : 1994
Statistical Properties Of A System Of Fourth Generation Process Capability Indices C written by Eric D. Benson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Process control categories.
New Process Capability Indices Based On Six Sigma Statistical Approach For Measuring The Process Perfomance In Industries A Case Study In Aden S Oil Refinery Yemen
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Author : Faisal Ali Mohamed Ali
language : en
Publisher:
Release Date : 2018
New Process Capability Indices Based On Six Sigma Statistical Approach For Measuring The Process Perfomance In Industries A Case Study In Aden S Oil Refinery Yemen written by Faisal Ali Mohamed Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
This study focused on the Statistical Quality Control (SQC), six sigma, univariate and multivariate process perfomance indicators, (capabilities indices (PCIs), process yield indices), controls charts, normally distributed process characteristics and petroleum products particularly density, octane number and vapor pressure of Aden refinery in Yemen.