Genetics algorithms in multivariate quality control

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 MEWMA chart parameters, to protect the process in the case of shifts of given size. Optimization has been done using genetic algorithms.

Original languageEnglish
Title of host publicationDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04
EditorsA.M.G. Municio, A.R. Castan
Pages65-66
Number of pages2
StatePublished - 2004
Externally publishedYes
EventDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04 - Valladolid, Spain
Duration: 22 Sep 200424 Sep 2004

Publication series

NameDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04

Conference

ConferenceDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04
Country/TerritorySpain
CityValladolid
Period22/09/0424/09/04

Keywords

  • ARL
  • Genetic algorithms
  • MEWMA control chart
  • Multivariate quality control
  • SPC

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