Frontiers in Statistical Quality Control 8

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 3790816876
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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.

Frontiers in Statistical Quality Control 11

Author: Sven Knoth
Publisher: Springer
ISBN: 3319123556
Format: PDF, Kindle
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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.

Frontiers in Statistical Quality Control 6

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 3642575900
Format: PDF, Docs
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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).

Frontiers in Statistical Quality Control 5

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 3642592392
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Like the preceding volumes, and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications. The papers are classified under four main headings: sampling inspection, process quality control, data analysis and process capability studies and finally experimental design.

Frontiers in Statistical Quality Control 9

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 9783790823806
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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".

Frontiers in Statistical Quality Control 10

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 3790828467
Format: PDF, ePub, Mobi
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The 10th International Workshop on Intelligent Statistical Quality Control took place in Seattle, USA, Aug 18-20, 2010. It was hosted by Professor C. M. Mastrangelo, Department of Industrial and Systems Engineering, University of Washington, Seattle. The workshop was jointly organized by Professors H. J. Lenz, C. M. Mastrangelo, W. Schmid and P.T. Wilrich. The twenty-seven papers in this volume were carefully selected by the scientific program committee, reviewed by its members, revised by the authors and, finally, adapted for this volume by the editors. The book is divided into two parts: Part I "On-line Control" covers fields like control charting, monitoring and surveillance as well as acceptance sampling. Part II "Off-line Control" is devoted to experimental design, process capability analysis and data quality. The purpose of the book is on the one hand to provide insights into important new developments in the area of statistical quality control – especially surveillance and monitoring – and on the other hand to critically discuss methods used in on-line and off-line statistical quality control.

Frontiers in Statistical Quality Control 7

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 9783790801453
Format: PDF, ePub
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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.

Frontiers in statistical quality control 3

Author: Hans-Joachim Lenz
Publisher:
ISBN: 9783790803815
Format: PDF, Mobi
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Like the first two volumes, published in 1981 and 1984 and met with a lively response, the present volume is collecting contributions stressed on methodology or successfull industrial applications. The papers are classified under two main headings; sampling inspection and process quality control. Among the papers dealing with sampling inspection, Liebesman analyzes the forthcoming ISO Standard for attribute skip-lot sampling, and v. Collani derives an alpha-optimal version of the Military Standard 105 D. Schneider and Wilrich have a strong case against cost optimal Bayesian sampling plans. Ohta and Furukawa deal with a new approach for calculating the operating characteristic of sequential sampling plans by attributes. Prematurely terminated sequential life tests for Military Standard 781 C are introduced by Derman, Lieberman and Schechner. Baillie extends the univariate methods for sampling inspection by variables to the multivariate case. A sampling inspection system for incoming batches based on relational databases is discussed by Lenz. The second group of papers deals with process quality control and continuous inspection. Ladany comes with a practical example of the engagement of a mini robot in process quality control . Shahani and Senna give some basic results for a two test scheme for the detection of failure of a production process, and Bergman suggests a control chart which is an improvement of an acceptance control chart. Montgomery, Gardiner and Pizzano discuss some practical aspects of the use of CUSUM charts and geometric moving average control charts, Wadsworth and Wasserman present a modified CUSUM procedure as a continuous sampling scheme, and Rendtel uses a generalized CUSUM-scheme to control the percent defective of a continuous production process. Heuristic economical designs for and R control charts are proposed by Saniga. Arnold designs and compares control charts based on the minimax principle. Woodall shows that the usually ignored statistical performance of economically optimal control charts can often be greatly improved. Murugesan and Hassan investigate the design of interrelated manufacturing and quality systems for multistage nonserial production.