Download or read book Performance of Control Charts for Weibull Processes written by Mang Zhang and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is about the set-up of magnitude robust control chart and CUSUM charts for detecting changes in Weibull processes. The research includes the comparison of the ARL performance of the control charts.
Download or read book Performance of a New Time Truncated Control Chart for Weibull Distribution Under Uncertainty written by Ali Hussein Al-Marshadi and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: To detect indeterminacy effect in the manufacturing process, attribute control chart using neutrosophic Weibull distribution is proposed in this paper. To make the attribute control chart more efficient for persistent shifts in the industrial process, an attribute control chart using Weibull distribution has been proposed recently. In this study, a neutrosophic Weibull distribution-based attribute control chart develop for efficient monitoring of the process. The indeterminacy effect was studied with the control chart’s performance using characteristics of run length. In addition, the proposed chart effectively detected shifts in uncertainty. The relative efficiency of the proposed structure is compared with the existing attribute control chart under the Weibull timetruncated life test. The relative analysis reveals that the proposed time-truncated control chart for Weibull distribution under uncertainty design performance more efficiently than the existing counterparts.
Download or read book The Impact of Weibull Data and Autocorrelation on the Performance of the Shewhart and Exponential Weighted Moving Average Control Charts written by Gary Black and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real-world processes generate autocorrelated and/or Weibull data. In such cases, the independence and/or normality assumptions underlying the Shewhart and EWMA control charts are not valid. This paper will examine and compare the performance of these two control charts when subjected to both autocorrelated and Weibull data. A variety of conditions will be investigated related to the magnitudes of the process shift, autocorrelation and Weibull shape parameter. It was found that the EWMA chart outperformed the Shewhart in 62% of the cases, particularly those cases with low to moderate autocorrelation values. The Shewhart chart outperformed the EWMA in 35% of the cases, particularly those cases with high autocorrelation and zero or high process shift. The remaining 3% of the cases were inconclusive.
Download or read book Control Chart for Failure Censored Reliability Tests under Uncertainty Environment written by Muhammad Aslam and published by Infinite Study. This book was released on with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, a control chart for failure-censored (Type-II) reliability tests was designed using NS. The design of a control chart for the Weibull distribution, which is applied when there is a lack of symmetry using neutrosophic statistics, is given.
Download or read book Statistical Process Control for Real World Applications written by William A. Levinson and published by CRC Press. This book was released on 2010-12-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Frontiers in Statistical Quality Control 12 written by Sven Knoth and published by Springer. This book was released on 2018-06-15 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 – 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference’s scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.
Download or read book Control Chart for Failure Censored Reliability Tests under Uncertainty Environment written by Muhammad Aslam and published by Infinite Study. This book was released on with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Existing control charts based on failure-censored (Type-II) reliability tests were designed using classical statistics. Classical statistics was applied for the monitoring of the process when observations in the sample or the population were determined. Neutrosophic statistics (NS) are applied when there is uncertainty in the sample or population. In this paper, a control chart for failure-censored (Type-II) reliability tests was designed using NS. The design of a control chart for the Weibull distribution, which is applied when there is a lack of symmetry using neutrosophic statistics, is given. The proposed control chart was used to monitor the neutrosophic mean and neutrosophic variance, which are related to the neutrosophic scale parameter. The advantages of the proposed control chart over the existing control chart are discussed.
Download or read book Frontiers in Statistical Quality Control 11 written by Sven Knoth and published by Springer. This book was released on 2015-04-24 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent. The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields. The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.
Download or read book Proceedings of the 12th International Conference on Robotics Vision Signal Processing and Power Applications written by Nur Syazreen Ahmad and published by Springer Nature. This book was released on with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Process Variability Control Procedures written by Dr. Mrs. Shobha V. Rajmanya and published by Lulu.com. This book was released on 2018-09-14 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globalization and technological advances have created very competitive environment in industries. As such, producers are keen to produce very high standard products and good efforts are put in to make further improvement in the quality. Statistical process control (SPC) is commonly used as a tool in improving product quality through the achievement of process stability and capability. Generally there are two types of variations in the process assignable cause variations and special cause variation. An important objective of SPC is to detect quickly the occurrence of assignable causes of process variation, so that the process can be investigated and any required corrective action can be taken before many nonconforming units are manufactured.
Download or read book Statistical Models and Control Charts for High Quality Processes written by Min Xie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control charts are widely used in industry to monitor processes that are far from Zero-Defect (ZD), and their use in a near Zero-Defect manufacturing environment poses many problems. This book presents techniques of using control charts for high-quality processes, and some recent findings and applications of statistical control chart techniques for ZD processes are presented. A powerful technique based on counting of the cumulative conforming (CCC) items between two nonconforming ones is discussed in detail. Extensions of the CCC chart are described, as well as applications of cumulative sum and exponentially weighted moving average techniques to CCC-related data, multivariate methods, economic design of control chart procedures, and modeling and analysis of trended but regularly adjusted processes. Many examples, charts, and procedures, are presented throughout the book, and references are provided for those interested in exploring the details. A number of questions and issues are posed for further investigations. Researchers and students may find many ideas in this book useful in their academic work, as a foundation is laid for the exploration of many further theoretical and practical issues.
Download or read book Weibull Models written by D. N. Prabhakar Murthy and published by John Wiley & Sons. This book was released on 2004-01-28 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, andscattered across many different journals. Weibull Models is acomprehensive guide that integrates all the different facets ofWeibull models in a single volume. This book will be of great help to practitioners in reliabilityand other disciplines in the context of modeling data sets usingWeibull models. For researchers interested in these modelingtechniques, exercises at the end of each chapter define potentialtopics for future research. Organized into seven distinct parts, Weibull Models: * Covers model analysis, parameter estimation, model validation,and application * Serves as both a handbook and a research monograph. As ahandbook, it classifies the different models and presents theirproperties. As a research monograph, it unifies the literature andpresents the results in an integrated manner * Intertwines theory and application * Focuses on model identification prior to model parameterestimation * Discusses the usefulness of the Weibull Probability plot (WPP)in the model selection to model a given data set * Highlights the use of Weibull models in reliability theory Filled with in-depth analysis, Weibull Models pulls together themost relevant information on this topic to give everyone fromreliability engineers to applied statisticians involved withreliability and survival analysis a clear look at what Weibullmodels can offer.
Download or read book Reliability Modeling Analysis And Optimization written by Hoang Pham and published by World Scientific. This book was released on 2006-06-26 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in reliability and its applications.The book comprises twenty-three chapters organized into four parts: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies. These sections cover a wide range of important topics, including system reliability modeling, optimization, software reliability and quality, maintenance theory and inspection, reliability failure analysis, sampling plans and schemes, software development processes and improvement, stochastic process modeling, statistical distributions and analysis, fault-tolerant performance, software measurements and cost effectiveness, queueing theory and applications, system availability, reliability of repairable systems, testing sampling inspection, software capability maturity model, accelerated life modeling, statistical control, and HALT testing.
Download or read book Frontiers in Statistical Quality Control 13 written by Sven Knoth and published by Springer Nature. This book was released on 2021-05-15 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.
Download or read book A Process Control Chart for the Detection of a Change in the Level Parameter of the First and Second Order Autoregressive Processes written by Douglas Harvey Timmer and published by . This book was released on 1994 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Modeling of Reliability Structures and Industrial Processes written by Ioannis S. Trianntafyllou and published by CRC Press. This book was released on 2022-09-27 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text introduces advanced topics in the field of reliability engineering, introduces statistical modeling techniques, and probabilistic methods for diverse applications. It comprehensively covers important topics including consecutive-type reliability systems, coherent structures, multi-scale statistical modeling, the performance of reliability structures, big data analytics, prognostics, and health management. It covers real-life applications including optimization of telecommunication networks, complex infrared detecting systems, oil pipeline systems, and vacuum systems in accelerators or spacecraft relay stations. The text will serve as an ideal reference book for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.
Download or read book Control Charts for Statistical Process Control a Literature Overview written by Anika Johlke and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control charts are a widely used tool for statistical process control and have been continuously researched and applied for several decades. If the underlying assumptions are guaranteed, traditional charts such as the Shewhart, EWMA or CUSUM chart are a reasonable choice for monitoring production or service processes. However, with the increasing availability of data and the need for more complex monitoring processes, these charts have evolved, resulting in a broad and diverse field of research. This literature overview aims to categorize the different characteristics of control charts, including general and specific types of control charts, different types of data, multivariate and distribution-free charts, computation methods, and the economic approach to designing a control chart. In particular, a categorization scheme for different performance metrics is provided, which is the first of its kind. This overview offers a brief summary of all categories, outlines representative and high-quality articles, introduces the most influential authors in the field, and suggests several areas for future research. Unlike recent literature reviews, we do not focus on a specific property of control charts, but rather provide a comprehensive overview. Research on this topic has not ceased at all, in fact it has increased in the past two years, emphasizing the continued importance of control charts.
