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.
Tabla de materias
Part I On-line Control:.- A GLR Control Chart for Monitoring the Process Variance by Marion R. Reynolds, Jr., and Jianying Lou.- On the Robustness of the Shewhart Control Chart to Diffrent Types of Dependencies in Data by Olgierd.- Assessing the Impact of Autocorrelation in Misleading Signals in Simultaneous Residual Schemes for the Process Mean and Variance: a Stochastic Ordering Approach by Patricia Ferreira Ramos, Manuel Cabral Morais, Antonio Pacheco and Wolfgang Schmid.- More on Control Charting under Drift by Sven Knoth.- Limit Properties of EWMA Charts for Stationary Processes by Manuel Cabral Morais, Yarema Okhrin, and Wolfgang Schmid.- Economic Control Chart Policies for Monitoring Variables when there are Two Components of Variance by Erwin Saniga, James Lucas, Darwin Davis, and Thomas Mc Williams.- Process Monitoring Using an Online Nonlinear Data Reduction Based Control Chart by Issam Ben Khediri and Claus Weihs.- On the Integration of SPC and APC: APC can be a Convenient Support for SPC by Ken Nishina, Masanobu Higashide, Hironobu Kawamura, and Naru Ishii.- Process Adjustment Control Chart for Simultaneous Monitoring of Process Capability and State of Statistical Control by Hironobu Kawamura, Ken Nishina and Tomomichi Suzuki.- Adaptive Threshold Methods for Monitoring Rates in Public Health Surveillance by Linmin Gan, William H. Woodall, and John L. Szarka.- Spatiotemporal Bio Surveillance Under Non-homogeneous Population by Sung Won Han, Wei Jiang, and Kwok-Leung Tsui.- Monitoring Hospital-Associated Infections with Control Charts by Christina M. Mastrangelo and Anna M. Gillan.- Design and Implementation of Systems for Monitoring Lifetime Data by Emmanuel Yashchin.- A Robust Detection Procedure for Multiple Change Points of Linear Trends by Seiichi Yasui, Hidehisa Noguchi and Yoshikazu Ojima.- Risk-adjusted Cumulative Sum Charting Procedures by Fah F. Gan, Lin Lin, and Chok K. Loke.- Bayesian Sampling Plans for Inspection by Variablesby Peter-Th. Wilrich.- Quality Assessment in the Presence of Additional Data in Photovoltaics by Sabine Meisen, Andrey Pepelyshev and Ansgar Steland.- On Practical Uses of ISO Standards – Two Case Studies by Jürgen Iwersen.- Part II Off-line Control: Hybrid Space-Filling Designs for Computer Experiments by Rachel T. Johnson, Douglas C. Montgomery and Kathryn S. Kennedy.- Optimal Design for Multifactor Life Testing Experiments for Exponentially Distributed Lifetimes by Brandon R. Englert, Steven E. Rigdon, Connie M. Borror, Douglas C. Montgomery and Rong Pan.- Accelerated Lifetime Testing of Thermal Insulation Elements by Rainer Göb, Kristina Lurz, and Ulrich Heinemann.- Proposal of Advanced Taguchi’s Linear Graphs for Split-Plot Experiments by Tomomichi Suzuki, Hironobu Kawamura, Seiichi Yasui and Yoshikazu Ojima.- A Practical Variable Selection for Linear Models by Hidehisa Noguchi, Yoshikazu Ojima, and Seiichi Yasui.- Capability of Detection for Poisson Distributed Measurements by Normal Approximations by Yusuke Tsutsumi, Hironobu Kawamura, and Tomomichi Suzuki.- Business Data Quality Control – a Step by Step Procedure by Hans-J. Lenz and Esther Borowski.- Data Quality: Algorithms for Automatic Detection of Unusual Measurements by Ross Sparks and Chris Oku Gami.- Uncertainty and Quality Control by Elart von Collani.
Sobre el autor
Hans-J. Lenz received his doctorate (Dr. rer. pol. in Statistics and Operations Research) at the Freie Universität Berlin in 1973. He completed his venia legendi (post-doctoral degree) in Statistics and Operations Research at the same university in 1976. From 1978-2008 he was Professor of Applied Computer Science and Statistics at the Freie Universität Berlin. In 1978 he refused a professorship of Statistics at the University of Bonn. During his sabbaticals in 1993 and 1996-97 he was a visiting professor at Lawrence Berkeley Natl. Lab, Dept. of Computer Science Research and Development, Berkeley, USA. He has published or co-edited more than twenty books and some 350 technical papers. In 2005 the Romanian Statistical Society appointed him an honorary member, and in 2008 he received the golden medal of the Freie Universität Berlin for his long years of service.
Wolfgang Schmid studied Mathematics at the University of Ulm, Germany. He received his diploma in 1982 and doctorate in 1984 with a thesis on “Localization of outliers in autoregressive processes.” In 1991 he completed his post-doctoral studies with a paper on “Outlier Tests and Outlier Identification in Time Series” and the venia legendi for Mathematics. After stays in Ulm, Trier and Stuttgart he became a full professor of Statistics at the European University Viadrina in Frankfurt (Oder) in 1995. Wolfgang Schmid is the author of over 100 research papers in statistics. His main research areas are statistical process control, statistics in finance and environmetrics. He is currently associate editor of Sequential Analysis and of ASt A-Advances in Statistical Analysis. Since 2008 he has been a board member of the German Statistical Society.
Born in 1937, Peter-Theodor Wilrich studied Electrical Engineering in Hamburg and Aachen and received his Engineering diploma in 1961. He earned a further diploma in Industrial Engineering in 1984 and his doctorate with adissertation in the field of queuing theory in 1987. From 1972 until 1976 he was associate professor at the Technical University of Aachen’s Institute of Statistics. He later became full professor of statistics at the Freie Universität Berlin’s Institute of Statistics and Econometrics, where he worked until his retirement in 2002. His fields of interest include statistical quality control, industrial applications of statistical methods, and experimental design, especially problems of accuracy of measurement and inter-laboratory tests.
He is a member of the International Statistical Institute, an honorary member of the German Statistical Society and a fellow of the American Society for Quality.
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