Frontiers in Statistical Quality Control 8

1. Front Matter

   Pages I-XIV

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2. General Aspects of SQC Methodology

   1. Front Matter

      Pages 1-1

      PDF

   2. How Some ISO Standards Complicate Quality Improvement

      • Elart von Collani, Prank A. Palcat

      Pages 3-17

3. On-line Control

   1. Front Matter

      Pages 19-19

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   2. Sampling Plans

      1. Optimal Two-Stage Sequential Sampling Plans by Attributes

         • Olgierd Hryniewicz

         Pages 21-33

      2. Three-Class Sampling Plans: A Review with Applications

         • Frank A. Palcat

         Pages 34-52

   3. Control Charts

      1. CUSUM Control Schemes for Multivariate Time Series

         • Olha Bodnar, Wolfgang Schmid

         Pages 55-73

      2. The Art of Evaluating Monitoring Schemes — How to Measure the Performance of Control Charts?

         • Sven Knoth

         Pages 74-99

      3. Misleading Signals in Joint Schemes for <i>μ</i> and <i>σ</i>

         • Manuel Cabral Morais, António Pacheco

         Pages 100-122

      4. The Fréchet Control Charts

         • Edyta Mrówka, Przemysław Grzegorzewski

         Pages 123-135

      5. Reconsidering Control Charts in Japan

         • Ken Nishina, Kazuyoshi Kuzuya, Naru Ishii

         Pages 136-150

      6. Control Charts for the Number of Children Injured in Traffic Accidents

         • Pokropp F., Seidel W., Begun A., Heidenreich M., Sever K.

         Pages 151-171

      7. A New Perspective on the Fundamental Concept of Rational Subgroups

         • Marion R. Reynolds Jr., Zachary G. Stoumbos

         Pages 172-184

      8. Economic Advantages of CUSUM Control Charts for Variables

         • Erwin M. Saniga, Thomas P. McWilliams, Darwin J. Davis, James M. Lucas

         Pages 185-198

      9. Choice of Control Interval for Controlling Assembly Processes

         • Tomomichi Suzuki, Taku Harada, Yoshikazu Ojima

         Pages 199-206

      10. Generalization of the Run Rules for the Shewhart Control Charts

          • Seiichi Yasui, Yoshikazu Ojima, Tomomichi Suzuki

          Pages 207-219

   4. Monitoring

      1. Robust On-Line Turning Point Detection. The Influence of Turning Point Characteristics

         • E. Andersson

         Pages 223-248

      2. Specification Setting for Drugs in the Pharmaceutical Industry

         • Jørgen Iwersen, Henrik Melgaard

         Pages 249-262

      3. Monitoring a Sequencing Batch Reactor for the Treatment of Wastewater by a Combination of Multivariate Statistical Process Control and a Classification Technique

         • Magda Ruiz, Joan Colomer, Joaquim Melendez

         Pages 263-282

4. Off-line Control

   1. Front Matter

      Pages 283-283

      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.

• Analysis
• Measure
• Statistical Control
• Statistical Methods
• Statistical Process Control
• Time series
• classification
• controlling
• data analysis
• data mining

• Institut für Statistik und Ökonometrie, Freie Universität Berlin, Berlin, Germany

  Hans-Joachim Lenz, Peter-Theodor Wilrich

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