Frontiers in statistical quality control

Author(s)

Bibliographic Information

Frontiers in statistical quality control

edited by H.-J. Lenz, G.B. Wetherill, and P.-Th. Wilrich

Physica-Verlag, 1981-

  • 1 : pbk
  • 2 : pbk
  • 3 : pbk
  • 5 : pbk
  • 6 : pbk
  • 7 : pbk
  • 8 : pbk
  • 9
  • 10 : [pbk.]
  • 11 : [hardback]

Available at  / 23 libraries

Search this Book/Journal

Note

v. 5: Proceedings of the Vth International Workshop on Intelligent Statistical Quality Control, held at the University of Osaka Prefecture, Oska, Japan

International Workshop on Intelligent Statistical Quality Control (9th : 2007 : Beijing, China)

[Vol.] 11: Selected papers of the XIth International Workshop on Intelligent Statistical Quality Control in Sidney, Australia from August 20 to August 23, 2013

1st, 2nd, 3rd, 6th, 8th, 9th, 10th published by Würzburg ; New York : Physica-Verlag

5th, 7th, 11th published by Heidelberg ; New York ; Cham : Springer

Vol. 6: editors: H.-J. Lenz, P.-Th. Wilrich

Vol. 9, [v.] 10: editors: Hans-Joachim Lenz, Peter-Theodor Wilrich, Wolfgang Schmid

[Vol.] 11: editors: Sven Knoth, Wolfgang Schmid

Includes bibliographical references

Description and Table of Contents

Volume

11 : [hardback] ISBN 9783319123547

Description

The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent. The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields. The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.

Table of Contents

Part I - Statistical Process Control: Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest by Ross Sparks.- Some Recent Results on Monitoring the Rate of a Rare Event by William H. Woodall and Anne G. Ryan.- Statistical Perspectives on "Big Data" by Fadel M. Megahed and L. Allison Jones-Farmer.- Statistical Control of Multiple-stream Processes - a Literature Review by Eugenio K. Epprecht.- Regenerative Likelihood Ratio Control Schemes by Emmanuel Yashchin.- Variance Charts for Time Series - A Comparison Study by Taras Lazariv and Wolfgang Schmid.- On ARL-unbiased control charts by Sven Knoth and Manuel Cabral Morais.- Optimal Cumulative Sum Charting Procedures Based on Kernel Densities by Jessie Y. Su, Fah Fatt Gan, and Xu Tang.- A Simple Approach for Monitoring Process Mean and Variance Simultaneously by Su-Fen Yang and Barry C. Arnold.- Comparison of Phase II Control Charts Based on Variable Selection Methods by Giovanna Capizzi and Guido Masarotto.- The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring by Rainer Goeb and Kristina Lurz.- Strategies to Reduce the Probability of a Misleading Signal by Manuel Cabral Morais, Patricia Ferreira Ramos and Antonio Pacheco.- Characteristics of Economically Designed CUSUM and Control Charts by Erwin Saniga, Darwin Davis, Alireza Faraz, Thomas McWilliams, James Lucas.- SPC of Processes with Predicted Data - Application of the Data Mining Methodology by Olgierd Hryniewicz.- Shewhart's Idea of Predictability and Modern Statistics by Alessandro Di Bucchianico and Edwin R. van den Heuvel.- Part II - Acceptance Sampling: Sampling Inspection by Variables with an Additional Acceptance Criterion by Peter-Th. Wilrich.- Fractional Acceptance Numbers for Lot Quality by K. Govindaraju and G. Jones.- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs With Applications to Photovoltaics by Ansgar Steland.- Part III - Design of Experiments: An Overview of Designing Experiments for Reliability Data by G. Geoffrey Vining, Laura J. Freeman, and Jennifer L.K. Kensler.- Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs by Edgar Hassler, Douglas C. Montgomery, and Rachel T. Silvestrini.- Bayesian Lasso with Effect Heredity Principle by Hidehisa Noguchi, Yoshikazu Ojima, Seiichi Yasui.- Part IV - Related Areas: Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data by Watalu Yamamoto and Kazuki Takeshita.- Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring can Dominate the Proper one Even for Massive Data by Hans - J. Lenz.
Volume

7 : pbk ISBN 9783790801453

Description

This volume treats the four main categories of Statistical Quality Control: General SQC Methodology, On-line Control including Sampling Inspection and Statistical Process Control, Off-line Control with Data Analysis and Experimental Design, and, fields related to Reliability. Experts with international reputation present their newest contributions.

Table of Contents

1: General Aspects of Statistical Quality Control.- A Note on the Quality of Statistical Quality Control Procedures.- Statistical Decisions in Quality Audits - a Possibilistic Interpretation of Single Statistical Tests.- Dynamic Link Library and Electronic Book for Statistical Quality Control.- 2: On-Line Control.- Single Sampling Plans for Inspection by Variables under a Variance Component Situation.- Joint Determination of Economic Design of % MathType!MTEF!2!1!+- % feaagaart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn % hiov2DGi1BTfMBaeXatLxBI9gBamXvP5wqonvsaeHbd9wDYLwzYbqe % e0evGueE0jxyaibaieYlf9irVeeu0dXdh9vqqj-hEeeu0xXdbba9fr % Fj0-OqFfea0dXdd9vqaq-JfrVkFHe9pgea0dXdar-Jb9hs0dXdbPYx % e9vr0-vr0-vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaeHbfv % 3ySLgzaGqbciqb-Hfayzaaraaaaa!3AD9! $$ \bar X $$ - Control Charts, Economic Production Quantity, and Production Run Length for a Deteriorating Production System.- The Robustness and Performance of CUSUM Control Charts Based on the Double-Exponential and Normal Distributions.- An Application of Confirmation Sample Control Chart in the High-Yield Processes and Its Economic Design.- Statistical Design of Attribute Charts for Monitoring and Continuous Improvement When Count Levels Are Low.- A Markov Approach to the Average Run Length of CUSUM Charts for an AR(1) Process.- Effective Monitoring of Processes with Parts Per Million Defective. A Hard Problem!.- On Monitoring Processes and Assessing Process Capability under a Hierarchical Model, Part 1.- On Monitoring Processes and Assessing Process Capability under a Hierarchical Model, Part 2.- SPC Monitoring and Variance Estimation.- Control Charts for Time Series: A Review.- A Note on Stochastic Ordering Criteria in SPC for the Case of Correlated Output.- 3: Off-Line Control.- A New Statistical Tool for Finding Causal Conditions for Small Data Sets and Its Software.- What Has Data Mining Got to Do with Statistical Process Monitoring? A Case Study.- Profile Analysis Based on Repeated Measurements - A New Approach to the Analysis of Interaction.- Trouble-Shooting by Graphical Models.- An Alternative Expression of the Fractional Factorial Designs for Two-level and Three-level Factors.- 4: Studies in Areas Related to Reliability.- Building In Reliability. Is Statistical Process Control Statistical Reliability Control ?.- Optimal Warranty Period when Sale-Price Increases with the Lower Specification Limit.- Evaluation of Quality and Market Risk of Complex Industrial Products.
Volume

3 : pbk ISBN 9783790803815

Description

As with the first two volumes, published in 1981 and 1984, the present volume is a collection of contributions stressing methodology or successfull industrial applications. The papers are classified under two main headings sampling inspection and process quality control. Among the papers dealing with sampling inspection, Liebesman analyzes the forthcoming ISO Standard for attribute skip-lot sampling, and V. Collani derives an alpha-optimal version of the Military Standard 105. D. Schneider and Wilrich have a strong case against cost optimal Bayesian sampling plans. Ohta and Furukawa deal with a new approach for calculating the operating characteristic of sequential sampling plans by attributes. Prematurely terminated sequential life tests for Military Standard 781 C are introduced by Derman, Lieberman and Schechner. Baillie extends the univariate methods for sampling inspection by variables to the multivariate case. A sampling inspection system for incoming batches based on relational databases is discussed by Lenz.
Volume

5 : pbk ISBN 9783790809848

Description

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 quality control, data analysis and process capability studies and finally experimental design.

Table of Contents

1: Sampling Inspection.- An Adaptive Sampling System with a Fuzzy Controller.- Determination of Sample Sizes for Double Sampling Attribute Plans.- Unbiased Estimation of Generalized Moments of Process Curves.- On the Non-Robustness of Maximum-Likelihood Sampling Plans by Variables.- Normal Approximations to the Distribution Function of the Symmetric Beta Distribution.- 2: Process Quality Control.- A Mathematical Framework for Statistical Process Control.- A Review of Statistical and Fuzzy Quality Control Charts Based on Categorical Data.- Efficient Estimation of Control Chart Parameters.- Control Charts for Dependent and Multivariate Measurements.- On EWMA Charts for Time Series.- Statistical Process Control for Autocorrelated Processes: A Case-Study.- Quality Control of a Continuously Monitored Production Process.- Group Sequential Design with Delayed Observations for Selecting One of Two Processes in a Production System.- Design of the ($$ \overline x $$, s) Control Chart Based on Kullback-Leibler Information.- 3: Data Analysis And Process Capability Studies.- Measurement Error Effects on the Performance of Process Capability Indices.- A New Approach for Describing and Controlling Process Capability.- On the Use of Field Failure Data for Repairable Systems to Identify Sources of Variation.- 4: Experimental Design.- Control Chart Method for Analyzing Staggered Nested Data.- Prediction Properties of the Process Variance Using the Combined Array.- Joint Analysis of Mean and Variance Function Based on Second Order Polynomials.- Dependability Improvement Through Unreplicated Experimental Designs.
Volume

6 : pbk ISBN 9783790813746

Description

In the 1920's, Walter Shewhart visualized that the marriage of statistical methods and manufacturing processes would produce reliable and consistent quality products. Shewhart (1931) conceived the idea of statistical process control (SPC) and developed the well-known and appropriately named Shewhart control chart. However, from the 1930s to the 1990s, literature on SPC schemes have been "captured" by the Shewhart paradigm of normality, independence and homogeneous variance. When in fact, the problems facing today's industries are more inconsistent than those faced by Shewhart in the 1930s. As a result of the advances in machine and sensor technology, process data can often be collected on-line. In this situation, the process observations that result from data collection activities will frequently not be serially independent, but autocorrelated. Autocorrelation has a significant impact on a control chart: the process may not exhibit a state of statistical control when in fact, it is in control. As the prevalence of this type of data is expected to increase in industry (Hahn 1989), so does the need to control and monitor it. Equivalently, literature has reflected this trend, and research in the area of SPC with autocorrelated data continues so that effective methods of handling correlated data are available. This type of data regularly occurs in the chemical and process industries, and is pervasive in computer-integrated manufacturing environments, clinical laboratory settings and in the majority of SPC applications across various manufacturing and service industries (Alwan 1991).

Table of Contents

Sampling Inspection: R. Goeb: Methodological Foundations of Statistical Lot Inspection.- D.H. Baillie and C.A.J. Klaassen: Credit-based Accept-zero Sampling Schemes for the Control of Outgoing Quality.- P. Grzegorzewski: Acceptance Sampling Plans by Attributes with Fuzzy Risks and Quality Levels.- H. Melgaard, P. Thyregod: Acceptance Sampling by Variables under Measurement Uncertainty. Statistical Process Control: S. Knoth, w. Schmid, A. Schoene: Simultaneous Shewhart-Type Charts for the Mean and the Variance of a Time Series.- O. Hryniewicz: Application of ISO 3951 Acceptance Sampling Plans to the Inspection by Variables in Statistical Process Control (SPC).- S.P. Ladany: Optimal Set-Up of a Manufacturing Process with Unequal Revenue from Oversized and Undersized Items.- J. Nieckula: Frequency Distribution Supporting Recognition of Unnatural Paterns on Shewhart X-bar Chart.- R.S. Sparks: Monitoring Processes with Data Available in Tabular Form Using Multiple Correspondence Analysis.- M.R. Reynolds Jr., Z.G. Stoumbos: Monitoring a Proportion Using CUSUM and SPRT Control Charts.- T.R. Ryan, B.J. Faddy: The Effect of Non-Normality on the Performance of CUSUM Procedures.- H. Shore: Process Control for Non-Normal Populations Based on an Inverse Normalizing Transformation.- Z.G. Stoumbos, L.A. Jones, W.H. Woodall, M.R. Reynolds Jr.: On Nonparametric Multivariate Control Charts Based on Data Depth.- C.M. Mastrangelo, J.M. Porter, R.V. Baxley Jr.: Multivariate Process Monitoring for Nylon Fiber Production.- E.M. Saniga, M.F. Pohlen: The Management of SPC. Data Analysis and Process Capability Studies: K. Nishina: Application of Statistical Causal Analysis to Process Analysis.- S. Steiner, R.J. MacKay: Detecting Changes in the Mean from Censored Lifetime Data.- K.Vannman: A Graphical Method to Control Process Capability.- E. Wallgren: Confidence Limits for the Process Capability Index Cpk for Autocorrelated Quality Characteristics.- Experimental Design: S. Kowalski, G.G. Vining: Split-Plot Experimentation for Process and Quality Improvement.- Y. Ojima, A. Kouda, M. Okuhara: An Alternative Analysis Method to the ANOVA for pk Unreplicated Fractional Factorial Experiments.- K.-L. Tsui: Modeling and Analysis of Dynamic Design Experiments.
Volume

8 : pbk ISBN 9783790816860

Description

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.

Table of Contents

General Aspects of SQC Methodology.- How Some ISO Standards Complicate Quality Improvement.- On-line Control.- Optimal Two-Stage Sequential Sampling Plans by Attributes.- Three-Class Sampling Plans: A Review with Applications.- CUSUM Control Schemes for Multivariate Time Series.- The Art of Evaluating Monitoring Schemes - How to Measure the Performance of Control Charts?.- Misleading Signals in Joint Schemes for ? and ?.- The Frechet Control Charts.- Reconsidering Control Charts in Japan.- Control Charts for the Number of Children Injured in Traffic Accidents.- A New Perspective on the Fundamental Concept of Rational Subgroups.- Economic Advantages of CUSUM Control Charts for Variables.- Choice of Control Interval for Controlling Assembly Processes.- Generalization of the Run Rules for the Shewhart Control Charts.- Robust On-Line Turning Point Detection. The Influence of Turning Point Characteristics.- Specification Setting for Drugs in the Pharmaceutical Industry.- Monitoring a Sequencing Batch Reactor for the Treatment of Wastewater by a Combination of Multivariate Statistical Process Control and a Classification Technique.- Off-line Control.- Data Mining and Statistical Control - A Review and Some Links.- Optimal Process Calibration under Nonsymmetric Loss Function.- The Probability of the Occurrence of Negative Estimates in the Variance Components Estimation by Nested Precision Experiments.- Statistical Methods Applied to a Semiconductor Manufacturing Process.- An Overview of Composite Designs Run as Split-Plots.
Volume

9 ISBN 9783790823790

Description

The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".

Table of Contents

  • ON-LINE CONTROL - Control Charts.- Control Charting Normal Variance #x2013
  • Reflections, Curiosities, and Recommendations.- Adaptive Charting Techniques: Literature Review and Extensions.- Multivariate Monitoring of the Process Mean and Variability Using Combinations of Shewhart and MEWMA Control Charts.- Quality Control of Manufactured Surfaces.- Statistical Process Control for Semiconductor Manufacturing Processes.- The Max-CUSUM Chart.- Sequential Signals on a Control Chart Based on Nonparametric Statistical Tests.- On the Application of SPC in Finance.- ON-LINE CONTROL - Surveillance Sampling and Sampling Plans.- Principles for Multivariate Surveillance.- Research Issues and Ideas on Health-Related Surveillance.- Surveillance Sampling Schemes.- Selective Assembly for Maximizing Profit in the Presence and Absence of Measurement Error.- A New Approach to Bayesian Sampling Plans.- OFF-LINE CONTROL.- Stochastic Modelling as a Tool for Quality Assessment and Quality Improvement Illustrated by Means of Nuclear Fuel Assemblies.- Hierarchical Modeling for Monitoring Defects.- Conformance Analysis of Population Means under Restricted Stratified Sampling.- Data Quality Control Based on Metric Data Models.- The Sensitivity of Common Capability Indices to Departures from Normality.- A Note on the Estimation of Restricted Scale Parameters of Gamma Distributions.- Attractive Quality and Must-be Quality from the Viewpoint of Environmental Lifestyle in Japan.- On Identifying Dispersion Effects in Unreplicated Fractional Factorial Experiments.- Evaluating Adaptive Paired Comparison Experiments.- Approximated Interval Estimation in the Staggered Nested Designs for Precision Experiments.
Volume

10 : [pbk.] ISBN 9783790828450

Description

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.

Table of Contents

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 McWilliams.- 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 Variables by 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 Jurgen 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 Goeb, 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 OkuGami.- Uncertainty and Quality Control by Elart von Collani.

by "Nielsen BookData"

Details

Page Top