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Book Quality Technology   Quantitative Management

Download or read book Quality Technology Quantitative Management written by Samuel Kotz and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Managing Quality in Qualitative Research

Download or read book Managing Quality in Qualitative Research written by Uwe Flick and published by SAGE. This book was released on 2018-09-03 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality underpins the success (or failure) of any piece of qualitative research. In this book, Uwe Flick takes you through the steps in method and design to ensure quality and reliability throughout the entire research process. Showing hands-on what it means to ′manage′ quality, this book puts the spotlight on practical questions and steps researchers can use to continually interrogate, improve and demonstrate quality in your research.

Book Statistical Quality Technologies

Download or read book Statistical Quality Technologies written by Yuhlong Lio and published by Springer. This book was released on 2019-08-09 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

Book Quality and Reliability Management and Its Applications

Download or read book Quality and Reliability Management and Its Applications written by Hoang Pham and published by Springer. This book was released on 2015-11-20 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating development processes, policies, and reliability predictions from the beginning of the product development lifecycle to ensure high levels of product performance and safety, this book helps companies overcome the challenges posed by increasingly complex systems in today’s competitive marketplace. Examining both research on and practical aspects of product quality and reliability management with an emphasis on applications, the book features contributions written by active researchers and/or experienced practitioners in the field, so as to effectively bridge the gap between theory and practice and address new research challenges in reliability and quality management in practice. Postgraduates, researchers and practitioners in the areas of reliability engineering and management, amongst others, will find the book to offer a state-of-the-art survey of quality and reliability management and practices.

Book Information Quality

    Book Details:
  • Author : Ron S. Kenett
  • Publisher : John Wiley & Sons
  • Release : 2016-12-19
  • ISBN : 1118874447
  • Pages : 381 pages

Download or read book Information Quality written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Presents a framework for integrating domain knowledge with data analysis. Provides a combination of both methodological and practical aspects of data analysis. Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects. Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys. Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis.

Book Quality Control

Download or read book Quality Control written by Pengzhong Li and published by BoD – Books on Demand. This book was released on 2021-03-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.

Book Statistical Practice in Business and Industry

Download or read book Statistical Practice in Business and Industry written by Shirley Coleman and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.

Book Handbook of Multivariate Process Capability Indices

Download or read book Handbook of Multivariate Process Capability Indices written by Ashis Kumar Chakraborty and published by CRC Press. This book was released on 2021-01-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Public Transportation Quality of Service

Download or read book Public Transportation Quality of Service written by Luigi Dell ́Olio and published by Elsevier. This book was released on 2017-10-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public Transportation Quality of Service: Factors, Models, and Applications is the first book to help researchers better understand the contributing factors that can improve public transportation perception among users. The book compiles in one place metrics currently dispersed in journal articles, government publications and book chapters. It critically analyzes currently available modeling methodologies such as the Ordered Logit/Probit model and Models of Structural Equations, highlighting their advantages and disadvantages. The book addresses models of desired quality, including the views of users and non-users, discussing the gap between desired and perceived quality. The book also examines data mining approaches such as decision trees and neural networks, showing how to involve the public in the decision-making process to create policies that encourage public transport demand. Measuring passenger's views on public transportation is of critical concern to promote wider transit use in cities around the world. - Includes insights from both theoretical and practical points of view for both researchers and practitioners - Features case studies in each chapter that apply models discussed - Helps readers develop and design their own studies for measuring quality of service - Shows how to include perceived quality in contracts - Provides access to the survey formulas and data to better enable implementation of models

Book Statistical Methods for Reliability Data

Download or read book Statistical Methods for Reliability Data written by William Q. Meeker and published by John Wiley & Sons. This book was released on 2022-01-24 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.

Book Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Download or read book Handbook of Research on Data Science for Effective Healthcare Practice and Administration written by Noughabi, Elham Akhond Zadeh and published by IGI Global. This book was released on 2017-07-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Book NONPARAMETRIC QUALITY CONTROL TECHNIQUES

Download or read book NONPARAMETRIC QUALITY CONTROL TECHNIQUES written by Dr. Zombade Digambar Mahadev and published by Lulu.com. This book was released on with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Frontiers in Statistical Quality Control 12

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.

Book Process Improvement and CMMI for Systems and Software

Download or read book Process Improvement and CMMI for Systems and Software written by Ron S. Kenett and published by CRC Press. This book was released on 2010-03-09 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process Improvement and CMMI for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software. Focusing on planning, implementation, and management in system and software processes, it supplies a brief overview of basic strategic planning models and covers fundamental concepts and appr

Book Recent Developments in Management Science in Engineering

Download or read book Recent Developments in Management Science in Engineering written by Jiuping Xu and published by Cambridge Scholars Publishing. This book was released on 2021-08-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Introduction to Statistical Process Control

Download or read book Introduction to Statistical Process Control written by Muhammad Aslam and published by John Wiley & Sons. This book was released on 2020-09-16 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Distribution Free Methods for Statistical Process Monitoring and Control

Download or read book Distribution Free Methods for Statistical Process Monitoring and Control written by Markos V. Koutras and published by Springer Nature. This book was released on 2020-03-19 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection.