Title of article
Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms
Author/Authors
Francisco Aparisi، نويسنده , , J. Carlos Garc?a-D?az، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2004
Pages
18
From page
1437
To page
1454
Abstract
Exponentially weighted moving-average (EWMA) and multivariate EWMA (MEWMA) process control charts can be applied to detect small changes in statistical process control efficiently. This paper presents a software program developed in Windows environment for the optimal design of the EWMA and MEWMA chart parameters, to protect the process in the case of shifts of given size. Optimization has been done using genetic algorithms.
Keywords
Statistical process control , EWMA and MEWMA charts , Optimization , Genetic algorithms
Journal title
Computers and Operations Research
Serial Year
2004
Journal title
Computers and Operations Research
Record number
928089
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