Simulated systems optimization through response surface techniques [Optimización de sistemas simulados a través de técnicas de superficie de respuesta]


Autoria(s): Oviedo-Trespalacios, Óscar; Peñabaena, Rita Patricia
Data(s)

01/09/2015

Resumo

The purpose of this article is to show the applicability and benefits of the techniques of design of experiments as an optimization tool for discrete simulation models. The simulated systems are computational representations of real-life systems; its characteristics include a constant evolution that follows the occurrence of discrete events along the time. In this study, a production system, designed with the business philosophy JIT (Just in Time) is used, which seeks to achieve excellence in organizations through waste reduction in all the operational aspects. The most typical tool of JIT systems is the KANBAN production control that seeks to synchronize demand with flow of materials, minimize work in process, and define production metrics. Using experimental design techniques for stochastic optimization, the impact of the operational factors on the efficiency of the KANBAN / CONWIP simulation model is analyzed. The results show the effectiveness of the integration of experimental design techniques and discrete simulation models in the calculation of the operational parameters. Furthermore, the reliability of the methodologies found was improved with a new statistical consideration.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/90232/

Publicador

Universidad de Tarapaca

Relação

http://eprints.qut.edu.au/90232/1/Optimizaci%C3%B3n_de_sistemas_simulados_a_trav%C3%A9s_de_t%C3%A9cnicas_de_superficie_de_respuesta.pdf

DOI:10.4067/S0718-33052015000300011

Oviedo-Trespalacios, Óscar & Peñabaena, Rita Patricia (2015) Simulated systems optimization through response surface techniques [Optimización de sistemas simulados a través de técnicas de superficie de respuesta]. Ingeniare, 23(3), pp. 421-428.

Direitos

Copyright 2015 Universidad de Tarapaca

Fonte

Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation; School of Psychology & Counselling

Palavras-Chave #Design of experiments #Discrete simulation #Optimization #Production systems #Response surface
Tipo

Journal Article