Softcover reprint of the original 1st ed. 2001, XII, 375 p.
A product of Physica Verlag Heidelberg
Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
The book is a collection of papers presented at the 5th International Workshop on Intelligent Statistical Quality Control in Würzburg, Germany. Contributions deal with methodology and successful industrial applications. They can be grouped in four catagories: Sampling Inspection, Statistical Process Control, Data Analysis and Process Capability Studies and Experimental Design.
Content Level »Research
Keywords »ANOVA - Item - Manufacturing - Measure - Time series - data analysis
Sampling Inspection: R. Göb: 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. Schöne: 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.Vännman: 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.