Frontiers in Statistical Quality Control
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 qual
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H.-J. Lenz • P.-Th. WiMch (Eds.)
Frontiers in
Statistical Quality Control 5
With 65 Figures
Springer-Verlag Berlin Heidelberg GmbH
Prof. Dr. Hans-Joachim Lenz Prof. Dr. Peter-Theodor Wilrich Institut für Statistik und Ökonometrie Freie Universität Berlin Gary straße 21 D-14195 Berlin, Germany
ISBN 978-3-7908-0984-8 ISBN 978-3-642-59239-3 (eBook) DOI 10.1007/978-3-642-59239-3 This 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. © Springer-Verlag Berlin Heidelberg Originally published by Physica-Verlag Heidelberg in 1997 The use of general descriptive names, registered names, trademarks, etc. in this publication does 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 10495493
88/2202-5 4 3 2 1 0 - Printed on acid-free paper
Editorial
The Vth International Workshop on Intelligent Statistical Quality Control focussed on thoughtprovoking developments in quality control. It covered both on-line quality control techniques (sampling inspection and process quality control) and off-line techniques (experimental design, capability studies and data analysis in quality assurance). The workshop was held at the University of Osaka Prefecture, Osaka, Japan. It was organised by Professor H. Ohta, Dept. of Industrial Engineering. The perfect organisation and the very convenient facilities enabled the researchers to discuss the various topics very intensively during regular sessions and breaks while enjoying a relaxed atmosphere. All the Workshop papers accepted for this publication have been refereed and, where appropriate, revised by the authors. They can be classified into four main clusters: sampling inspection, process quality control, data analysis and process capability studies and, finally, experimental design. In the first group there are five papers on sampling inspection. The first paper is by Koyama, who proposes a sampling system with a fuzzy controller and compares it with sampling systems such as ISO 2859 and ISO 3951. Kanagawa and Ohta obtain sample sizes of double sampling attribute plans with given acceptance numbers for specified producer's and consumer's risks. Seidel derives unbiased estimators of the moments of the process curve from a unified point of view and considers some wellknown distributions as examples. Kossler and Lenz show that sampling plans by variables of the maximum likelihood type for double spe
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