Title | Frontiers in Statistical Quality Control 6 [electronic resource] / edited by Hans-Joachim Lenz, Peter-Theodor Wilrich |
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Imprint | Heidelberg : Physica-Verlag HD : Imprint: Physica, 2001 |
Connect to | http://dx.doi.org/10.1007/978-3-642-57590-7 |
Descript | XII, 375 p. online resource |
1: Sampling Inspection -- Methodological Foundations of Statistical Lot Inspection -- Credit-based Accept-zero Sampling Schemes for the Control of Outgoing Quality -- Acceptance Sampling Plans by Attributes with Fuzzy Risks and Quality Levels -- Acceptance Sampling by Variables under Measurement Uncertainty -- 2: Statistical Process Control -- Simultaneous Shewhart-Type Charts for the Mean and the Variance of a Time Series -- Application of ISO 3951 Acceptance Sampling Plans to the Inspection by Variables in Statistical Process Control (SPC) -- Optimal Set-Up of a Manufacturing Process with Unequal Revenue from Oversized and Undersized Items -- Frequency Distribution Supporting Recognition of Unnatural Patterns on Shewhart X-bar Chart 102 -- Monitoring Processes with Data Available in Tabular Form Using Multiple Correspondence Analysis 118 -- Monitoring a Proportion Using CUSUM and SPRT Control Charts -- The Effect of Non-Normality on the Performance of CUSUM Procedures -- Process Control for Non-Normal Populations Based on an Inverse Normalizing Transformation -- On Nonparametric Multivariate Control Charts Based on Data Depth -- Multivariate Process Monitoring for Nylon Fiber Production -- The Management of SPC -- 3: Data Analysis and Process Capability Studies -- Application of Statistical Causal Analysis to Process Analysis -- Detecting Changes in the Mean from Censored Lifetime Data -- A Graphical Method to Control Process Capability -- Confidence Limits for the Process Capability Index Cpk for Autocorrelated Quality Characteristics -- 4: Experimental Design -- Split-Plot Experimentation for Process and Quality Improvement -- An Alternative Analysis Method to the ANOVA for pk Unreplicated Fractional Factorial Experiments -- Modeling and Analysis of Dynamic Robust Design Experiments