Frontiers in Statistical Quality Control 5

Häftad, Engelska, 1997

Av Hans-Joachim Lenz, Peter-Theodor Wilrich, Peter-Th. Wilrich

2 099 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum1997-04-17
Mått170 x 242 x 17 mm
Vikt531 g
FormatHäftad
SpråkEngelska
SerieFrontiers in Statistical Quality Control
Antal sidor297
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783790809848

Tillhör följande kategorier

Företagsekonomi inom Ekonomi och ledarskap
Nationalekonomi inom Ekonomi och ledarskap
Ledarskap och motivation inom Ekonomi och ledarskap
Matematisk statistik inom Naturvetenskap och teknik
Projektledning inom Ekonomi och ledarskap
Mikroekonomi inom Ekonomi och ledarskap

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.