Process Capability Indices
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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.
Encyclopedia And Handbook Of Process Capability Indices A Comprehensive Exposition Of Quality Control Measures
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Author : Wen-lea Pearn
language : en
Publisher: World Scientific
Release Date : 2006-05-16
Encyclopedia And Handbook Of Process Capability Indices A Comprehensive Exposition Of Quality Control Measures written by Wen-lea Pearn and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-16 with Technology & Engineering categories.
This unique volume provides an up-to-date and detailed description of the various process capability indices widely (and sometimes misleadingly) used in the applications at production sites. The authors, who are internationally recognized experts in this area with numerous contributions to the field, provide a lucid exposition, which covers all the main aspects, developments and advances.The concept of Process Capability Index (PCI) is barely 20 years old, but the multitude of available versions can overwhelm even the most seasoned practitioner. The organized and self-contained presentation of the material starting from 1980's primitive indices (Cp and Cpk) up to the newly proposed indices for the cases of multiple dependent characteristics results in an authoritative and indispensable reference.A proper balance between theoretical investigation and “rule-of-thumb” practical procedures is maintained in order to eliminate the tensions among various methodologies of assessing the capability of industrial processes.
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 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.
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 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.
An Investigation Of Process Capability Indices
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Author : May Choo Pang
language : en
Publisher:
Release Date : 1999
An Investigation Of Process Capability Indices written by May Choo Pang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Development Of A Fuzzy Loss Based Process Capability Index
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Author : Mohammad Abdolshah
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013
Development Of A Fuzzy Loss Based Process Capability Index written by Mohammad Abdolshah and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Process capability indices are appropriate tools to measure the inherent capability of process, and it is very important for companies to evaluate and minimize their losses. Since most of process capability indices do not consider the losses, the these indices based on losses can help manufacturers to understand the real capability of their processes in order to improve them. The result of this study is a new loss-based index with more specifications such as mean-based, target- based, variation-based, bounded, and loss-based compared with other process capability indices. In order to validate the new loss-based method, the sensitivity of this index to process specifications was studied. Sensitivity analysis showed that this index is sensitive to the mean, variation, and target of data. The new index has 99.6% relationship with the loss especially asymmetric inverted normal loss function. This relationship with loss is the highest relationship compared with other process capability indices. Moreover a regression analysis showed that the new index has the most relationship with the value of loss compared with other process capability indices.
Process Capability Indices
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Author : Birgit Biberger
language : de
Publisher:
Release Date : 1991
Process Capability Indices written by Birgit Biberger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Process Capability Indices For Non Normal Distributions
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Author : Y. K. Cha
language : en
Publisher:
Release Date : 2000
Process Capability Indices For Non Normal Distributions written by Y. K. Cha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Process control categories.