An optimal design of multiattribute control charts for processes subject to a multiplicity of assignable causes

DOI10.1016/S0096-3003(99)00111-3zbMath1018.62110OpenAlexW1992362130MaRDI QIDQ1399019

Joel K. Jolayemi

Publication date: 10 August 2003

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0096-3003(99)00111-3

zbMATH Keywords

tablesconvolutionapproximationdesign parameterscomputational algorithmsbinomial variables

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (8)

Economic statistical design for three-level control charts with variable sample size ⋮ Copula-Based Bivariate ZIP Control Chart for Monitoring Rare Events ⋮ The economic design of multivariate binomial EWMA VSSI control charts ⋮ Skewness Reduction Approach in Multi-Attribute Process Monitoring ⋮ Optimal inspection policy for three-state systems monitored by control charts ⋮ On the monitoring of multi-attributes high-quality production processes ⋮ Monitoring Multi-Attribute Processes Based on NORTA Inverse Transformed Vectors ⋮ Development of a multiattribute synthetic-np chart

Cites Work

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• A power function model for determining sample sizes for the operations of multivariate control charts
• Multivariate control charts: An optimizaton approach to the effective use and measurement of performance
• An optimal design of multivariate control charts in the presence of multiple assignable causes
• A unified approximation scheme for the convolution of independent binomial variables
• Convolution of independent binomial variables: An approximation method and a comparative study
• Multiple Attributes Sampling Acceptance Plans Involving Destructive Testing
• The Economic Design of | barX-Charts When There is a Multiplicity of Assignable Causes
• Quality Control Methods for Multivariate Binomial and Poisson Distributions

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