Frontiers In Statistical Quality Control 7

Frontiers in Statistical Quality Control 7 Hans-Joachim Lenz Peter-Theodor Wilrich Editors Frontiers in Statistical Quality Control 7 With 70 Figures and 64 Tables Physica-Verlag A Springer-Verlag Company Professor Dr. Hans-Joachim Lenz [email protected] Professor Dr. Peter-Theodor Wilrich [email protected] Freie Universitat Berlin Institut fur Statistik und Okonometrie GarystraBe 21 14195 Berlin, Germany ISBN 3-7908-0145-3 Physica-Verlag Heidelberg New York Cataloging-in-Publication Data applied for A catalog record for this book is available from the Library of Congres s. Bibliographic information published by Die Deutsche Bibliothek Die Deutsche Bibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data available in the internet at http.lldnb.ddb.de Th is work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965,in its current version , and permission for use must always be obtained from Physica-Verlag. Violations are liable for prosecution under the German Copyright Law. Physica-Verlag is a part of Springer Science +Business Media springe ron line.com © Physica-Verlag Heidelberg 2004 Printed in Germany The use of general descriptive name s, registered names, trademarks, etc. in this publication doe s not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design : Erich Kirchner, Heidelberg SPIN 10972977 88/3130 - 5 4 3 2 1 0 - Printed on acid-free paper Editorial The VIlth International Workshop on "Intelligent Statistical Quality Control" took place in Waterloo, Canada, and was hosted by Professor St. H. Steiner, Institute for Improvement in Quality and Productivity, University of Waterloo. The papers collected in this volume fall into four main categories : General SQC Methodology, On-line Control including Sampling Inspection and Statistical Process Control, Off-line Control with Data Analysis and Experimental Design, and, finally, fields related to Reliability. In the first group there are three papers on "General Aspects of Statistical Quality Control" . v. Collani in "A Note on the Quality of Statistical Quality Control Procedures" proposes substituting classical designs of statistical procedures by a unified approach called the "Neyman procedure" . The problem is to minimise the weighted volume of the measurement procedure and the prediction procedure constrained by the confidence level and the sample size. Hryniewicz in "Statistical Decisions in Quality Audits - a Possibilistic Interpretation of Single Statistical Tests" uses possibilistic and necessity measures defined on the null hypothesis space H and the alternative hypothesis space K. This approach enables th