Multivariate control charts: An optimizaton approach to the effective use and measurement of performance

DOI10.1016/0096-3003(89)90043-XzbMath0673.62093OpenAlexW2091148251WikidataQ127308928 ScholiaQ127308928MaRDI QIDQ1120943

Julio N. Berrettoni, Joel K. Jolayemi

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1016/0096-3003(89)90043-x

zbMATH Keywords

sample sizeupper control limitmultivariate control charteffects of correlationintersample interval

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Production models (90B30) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

ON THE ECONOMIC DESIGN OF MULTIVARIATE CONTROL CHARTS ⋮ An optimal design of multivariate control charts in the presence of multiple assignable causes ⋮ A model for the statistical design of multivariate control charts with multiple control regions ⋮ An optimal design of multiattribute control charts for processes subject to a multiplicity of assignable causes ⋮ A power function model for determining sample sizes for the operations of multivariate control charts ⋮ Economic statistical design of theT²control chart under the Weibull shock model with multiple assignable causes

Cites Work

• Unnamed Item
• The Economic Design of | barX Charts used to Maintain Current Control of a Process
• Approximations to the non-central chi-square distribution

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