Genetics algorithms in multivariate quality control

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04
EditoresA.M.G. Municio, A.R. Castan
Páginas65-66
Número de páginas2
EstadoPublicada - 2004
Publicado de forma externa
EventoDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04 - Valladolid, Espana
Duración: 22 sep. 200424 sep. 2004

Serie de la publicación

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

Conferencia

ConferenciaDecision and Simulation in Engineering and Management Science - International Conference on Modelling and Simulation, ICMS'04
País/TerritorioEspana
CiudadValladolid
Período22/09/0424/09/04

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