Frontiers in Statistical Quality Control (eBook, PDF)

Redaktion: Lenz, Hans-Joachim; Wilrich, Peter-Theodor; Wetherill, G. Barry

• Format: PDF

Produktbeschreibung

Like the first three volumes, published in 1981, 1984 and 1987 and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications. The papers are classified under three main headings; sampling inspection, process quality control and experimental design. In the first group there are nine papers on acceptance sampling. The second large group of papers deal with control charts and process control and the third group of papers includes contributions on experimental design.

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Produktdetails

• Verlag: Physica-Verlag HD
• Seitenzahl: 266
• Erscheinungstermin: 29. Juni 2013
• Englisch
• ISBN-13: 9783662117897
• Artikelnr.: 53097531

Inhaltsangabe

Sampling Inspection.- Attriables Acceptance Sampling Plans.- Sensitivity to Process Quality under the Proposed Revision of ISO 2859.- Bounded Outgoing Quality Sampling Plans when the Prior Distribution of Lot Defectives is not Binomial.- Developmental Studies on New Sampling Inspection Plans.- On the Design of Exact Single Sampling Plans by Variables.- The Pitfall of Acceptance Sampling by Variables.- Design of Economic Sampling Plan Based on Empirical Bayesian Approach.- Minimax Regret Sampling Plans Based on Generalized Moments of the Prior Distribution.- Process Quality Control.- Shewhart Control Charts for Individuals with Time-Ordered Data.- On an Adaptive Acceptance Control Chart for Autocorrelated Processes.- The Use (and Misuse) of False Alarm Probabilities in Control Chart Design.- Optimal Dynamic Application of a Fraction-Defective Control Chart to Control a Production Process.- Importance of Process and Control in Statistical Process Control.- Robustness and Flexibility of Constrained Economic Designs.- Approximately Optimal Economic Process Control for a General Class of Control Procedures.- Control Charts for Environmental Data.- Statistical Process Control for the Process Industries.- Experimental Design.- Comparison of New Techniques to Identify Significant Effects in Unreplicated Factorial Designs.- An Algorithm for the Construction of Orthogonal Factorial Designs.