Frontiers in Statistical Quality Control 8
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 m
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Hans-Joachim Lenz Peter-Theodor Wilrich Editors
Frontiers in Statistical Quality Control 8 With 92 Figures and 93 Tables
Physica-Verlag A Springer Company
Professor Dr. Hans-Joachim Lenz [email protected] Professor Dr. Peter-Theodor Wilrich [email protected] Freie Universitåt Berlin Institut fçr Statistik und Úkonometrie Garystraûe 21 14195 Berlin Germany
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3-7908-1686-8 Physica-Verlag Heidelberg New York 978-3-7908-1686-0 Physica-Verlag Heidelberg New York
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Editorial
The VIIIth International Workshop on "Intelligent Statistical Quality Control" took place in Warsaw, Poland, and was hosted by Professor Dr. Olgierd Hryniewicz, Systems Research Institute of the Polish Academy of Sciences and Warsaw School of Information Technology, Warsaw, Poland. The workshop itself was jointly organized by Professor Dr. 0 . Hryniewicz, Professor Dr. H.-J. Lenz, Professor Dr. P.-T. Wilrich, Dr. P. Grzegorzewski, Edyta Mrowka and Maciej Romaniuk. The workshop papers integrated in this volume are divided into three main parts: Part I: "General Aspects of SQC Methodology", Part 2: "On-line Control" with subchapters "Sampling Plans", "Control Charts" and "Monitoring", and Part 3: "Off-line Control" including Data Analysis, Calibration and Experimental Design. In Part 1 "General Aspects of SQC Methodology" von Collani and Palcat analyze "How Some ISO-Standards Complicate Quality Improvement". They compare the aims of ISOStandards for QC with the aims of continuous quality improvement. Due to a lack of compatibility different QC procedures are proposed. In Part 2 "On-line Control" there are fifteen papers. It starts with two papers on "Sampling Plans". Hryniewicz considers "Optimal Two-Stage Sequential Sampling Plans by Attributes". Acceptance sampling by attributes requires large samples when the fraction of nonconforming items
