Statistical Quality Technologies

Author : Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen
Publisher : Springer
Page : 402 pages
File Size : 52,5 Mb
Release : 2019-08-09
Category : Mathematics
ISBN : 9783030207090

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Statistical Quality Technologies by Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen Pdf

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.

Author : William S. Messina
Publisher : Wiley-Interscience
Page : 360 pages
File Size : 50,8 Mb
Release : 1987-08-02
Category : Business & Economics
ISBN : UOM:39015012451293

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Statistical Quality Control for Manufacturing Managers by William S. Messina Pdf

Provides the methods and tools for the manufacturing manager to improve quality, increase productivity, and enhance the competitive position of the manufacturing line. Proposes potentially controversial methods of performance appraisals, operation certification, line qualification, vendor certification, and just-in-time manufacturing. The organization of this book takes the reader logically from the basics of statistics through the fundamentals of statistical quality control, to the manufacturing applications and accompanying manufacturing strategies of statistical quality control (SQC). This book is the first written specifically for manufacturing management. Examples throughout the book demonstrate how the manufacturing manager can successfully implement SQC in the manufacturing process. Real-life manufacturing situations described illustrate situations managers are likely to find in their own line.

Author : Sven Knoth,Wolfgang Schmid
Publisher : Springer Nature
Page : 410 pages
File Size : 46,9 Mb
Release : 2021-05-15
Category : Mathematics
ISBN : 9783030678562

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Frontiers in Statistical Quality Control 13 by Sven Knoth,Wolfgang Schmid Pdf

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.

Author : Sven Knoth,Wolfgang Schmid
Publisher : Springer
Page : 393 pages
File Size : 45,7 Mb
Release : 2015-04-24
Category : Computers
ISBN : 9783319123554

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Frontiers in Statistical Quality Control 11 by Sven Knoth,Wolfgang Schmid Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 49,9 Mb
Release : 1993
Category : Electronic
ISBN : 0646157000

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Statistical Quality Control by Anonim Pdf

Author : Hans-Joachim Lenz,Peter-Theodor Wilrich
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642575907

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Frontiers in Statistical Quality Control 6 by Hans-Joachim Lenz,Peter-Theodor Wilrich Pdf

In the 1920's, Walter Shewhart visualized that the marriage of statistical methods and manufacturing processes would produce reliable and consistent quality products. Shewhart (1931) conceived the idea of statistical process control (SPC) and developed the well-known and appropriately named Shewhart control chart. However, from the 1930s to the 1990s, literature on SPC schemes have been "captured" by the Shewhart paradigm of normality, independence and homogeneous variance. When in fact, the problems facing today's industries are more inconsistent than those faced by Shewhart in the 1930s. As a result of the advances in machine and sensor technology, process data can often be collected on-line. In this situation, the process observations that result from data collection activities will frequently not be serially independent, but autocorrelated. Autocorrelation has a significant impact on a control chart: the process may not exhibit a state of statistical control when in fact, it is in control. As the prevalence of this type of data is expected to increase in industry (Hahn 1989), so does the need to control and monitor it. Equivalently, literature has reflected this trend, and research in the area of SPC with autocorrelated data continues so that effective methods of handling correlated data are available. This type of data regularly occurs in the chemical and process industries, and is pervasive in computer-integrated manufacturing environments, clinical laboratory settings and in the majority of SPC applications across various manufacturing and service industries (Alwan 1991).

Author : J. Bert Keats,Douglas C. Montgomery
Publisher : CRC Press
Page : 530 pages
File Size : 53,9 Mb
Release : 1996-03-15
Category : Science
ISBN : 0824797116

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Statistical Applications in Process Control by J. Bert Keats,Douglas C. Montgomery Pdf

This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.

Author : Hans-Joachim Lenz,Peter-Theodor Wilrich
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 53,6 Mb
Release : 2006-08-08
Category : Mathematics
ISBN : 9783790816877

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Frontiers in Statistical Quality Control 8 by Hans-Joachim Lenz,Peter-Theodor Wilrich Pdf

In Canada, acceptance sampling has been used in legal metrology applications for nearly four decades. One of its principal uses has been in the quality control of utility meters that measure electricity or natural gas supplied to consumers. By law, such meters must be inspected for conformance to specification requirements prior to use and be periodically inspected while huse. With few exceptions, due to the numerous utility companies in the country and their varied practices, the meters exist in the form of isolated lots for inspection purposes. The proportion of nonconforming meters in a lot has traditionally defined lot quality for utility meter sampling inspection purposes. Another principal application of acceptance sampling has been in the quality control of the net contents of packaged products sold in the marketplace. Such products include those sold on the basis of such measures as weight, volume, length, and area. In this particular application, products are also usually inspected on an isolated-lot basis for regulatory purposes. However, lot quality is usually measured on the basis of two criteria for such products: the proportion of nonc- forming packages in the lot and the lot mean quantity. This section reviews Canadian quality control practices in these two areas of application, highlighting some of the deficiencies and issues. Three-class s- pling plans are proposed as a possible solution to some of these deficiencies and issues.

Author : D.H. Stamatis
Publisher : CRC Press
Page : 522 pages
File Size : 42,8 Mb
Release : 2002-09-25
Category : Business & Economics
ISBN : 9781420000276

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Six Sigma and Beyond by D.H. Stamatis Pdf

In this volume of the Six Sigma and Beyond series, quality engineering expert D.H. Stamatis focuses on how Statistical Process Control (SPC) relates to Six Sigma. He emphasizes the "why we do" and "how to do" SPC in many different environments. The book provides readers with an overview of SPC in easy-to-follow, easy-to-understand terms. The author reviews and explains traditional SPC tools and how they relate to Six Sigma and goes on to cover the use of advanced techniques. In addition, he addresses issues that concern service SPC and short run processes, explores the issue of capability for both the short run and the long run, and discusses topics in measurement.

Author : Peihua Qiu
Publisher : CRC Press
Page : 520 pages
File Size : 46,7 Mb
Release : 2013-10-14
Category : Business & Economics
ISBN : 9781482220414

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Introduction to Statistical Process Control by Peihua Qiu Pdf

A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon

Author : Hans-Joachim Lenz,Peter-Theodor Wilrich,Wolfgang Schmid
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 54,9 Mb
Release : 2010-03-10
Category : Mathematics
ISBN : 9783790823806

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Frontiers in Statistical Quality Control 9 by Hans-Joachim Lenz,Peter-Theodor Wilrich,Wolfgang Schmid Pdf

The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".

Author : Hans-Joachim Lenz,Peter-Theodor Wilrich
Publisher : Springer Science & Business Media
Page : 355 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783790826746

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Frontiers in Statistical Quality Control 7 by Hans-Joachim Lenz,Peter-Theodor Wilrich Pdf

This volume treats the four main categories of Statistical Quality Control: General SQC Methodology, On-line Control including Sampling Inspection and Statistical Process Control, Off-line Control with Data Analysis and Experimental Design, and, fields related to Reliability. Experts with international reputation present their newest contributions.

Author : Bovas Abraham
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 52,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461217763

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Quality Improvement Through Statistical Methods by Bovas Abraham Pdf

This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI meth ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and ex changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers.

Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 773 pages
File Size : 40,5 Mb
Release : 2019-12-30
Category : Einführung
ISBN : 9781119657118

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Introduction to Statistical Quality Control by Douglas C. Montgomery Pdf

"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--

Author : Muhammad Aslam,Aamir Saghir,Liaquat Ahmad
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 55,7 Mb
Release : 2020-09-16
Category : Mathematics
ISBN : 9781119528456

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Introduction to Statistical Process Control by Muhammad Aslam,Aamir Saghir,Liaquat Ahmad Pdf

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.