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Construction and validation of distribution-based regression simulation metamodels / Reis dos Santos, M. I. in Journal of the operational research society (JORS), Vol. 62 N° 7 (Juillet 2011) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 62 N° 7 (Juillet 2011) . - pp. 1376–1384 Titre : Construction and validation of distribution-based regression simulation metamodels Type de document : texte imprimé Auteurs : Reis dos Santos, M. I., Auteur ; Reis dos Santos, P. M., Auteur Année de publication : 2011 Article en page(s) : pp. 1376–1384 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Metamodels  Methodology  Simulation  Regression  Optimization  Robust  design Index. décimale : 001.424 Résumé : Metamodels are used as analysis tools for solving optimization problems. A metamodel is a simplification of the simulation model, representing the system's input–output relationship through a mathematical function with customized parameters. The proposed approach uses confidence intervals as an acceptance procedure, and as a predictive validation procedure when new points are employed. To improve the knowledge about the system, the response is depicted by modelling both the mean and variance functions of a normal distribution along the experimental region. Such metamodels are specially useful when the variance of the output varies significantly. These metamodels may be used for minimizing product quality loss and improving production robustness. The development of such metamodels is illustrated with two examples. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n7/abs/jors201064a.html [article] Construction and validation of distribution-based regression simulation metamodels [texte imprimé] / Reis dos Santos, M. I., Auteur ; Reis dos Santos, P. M., Auteur . - 2011 . - pp. 1376–1384. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 7 (Juillet 2011) . - pp. 1376–1384 Mots-clés : Metamodels  Methodology  Simulation  Regression  Optimization  Robust  design Index. décimale : 001.424 Résumé : Metamodels are used as analysis tools for solving optimization problems. A metamodel is a simplification of the simulation model, representing the system's input–output relationship through a mathematical function with customized parameters. The proposed approach uses confidence intervals as an acceptance procedure, and as a predictive validation procedure when new points are employed. To improve the knowledge about the system, the response is depicted by modelling both the mean and variance functions of a normal distribution along the experimental region. Such metamodels are specially useful when the variance of the output varies significantly. These metamodels may be used for minimizing product quality loss and improving production robustness. The development of such metamodels is illustrated with two examples. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n7/abs/jors201064a.html