Examinando por Materia "TOMA DE DECISIONES - MODELOS MATEMÁTICOS"
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Ítem Knowledge modelling for supporting decision making in optimal distributed design process(IEEE, 2007-12-02) Mejía Gutiérrez, Ricardo; Fischer Estia, Xavier; Bennis, Fouad; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ricardo Mejia (rmejiag@eafit.edu.co); Ingeniería de Diseño - GRIDA methodology for distributed knowledge modeling will be presented in this article, in order to contribute to a better decision making during design problems analysis -- An optimal design process refers to setting up coherent numerical models and it requires a well structured problem definition -- However, a lack of downstream information in early stages of product development leads to a complicated elicitation task that became an issue due to nowadays distributed environments -- A Multi-Agent approach is proposed to support the distributed knowledge elicitation process -- A set of agents will guide members from the distributed design team, throughout the product life cycle, to extract relevant information and analyze it -- The interaction among agents will highlight potential incoherencies during the modeling process, in order to enable partners to avoid inconsistent information -- A coherent knowledge base is then constructed and ready to be used to create models to be analyzed by traditional inference engines such as optimization solvers,constraint satisfaction programming, etcÍtem Modelación de una situación empresarial para la enseñanza de simulación discreta(Asociación Colombiana de Facultades de Ingeniería (ACOFI), 2013-09-24) Carmona González, Guillermo L.; Montoya Agudelo, Juan Sebastián; Cano Escobar, María Adelaida; Álvarez Zapata, Daniela; Rodríguez Betancur, María Antonia; Universidad EAFIT. Departamento de Ingeniería de Producción; mrodri23@eafit.edu.co; dalvar35@eafit.edu.co; mcanoes@eafit.edu.co; jmonto41@eafit.edu.co; gcarmona@eafit.edu.co; Gestión de Producción y LogísticaDiscrete simulation is one of the tools that are used for modeling real systems and for evaluating the impact of certain decisions using the resulting model, improving with this the decisions making on the real system -- Discrete simulation has been taught in the simulation course of the Operations Management and Logistics program at EAFIT University -- However this course only has academic exercises for the modeling processes -- This motivated to the realization of a project for documenting a business scenario on which students can build a simulation supported on a real situation -- This would allow students an approach to the modeling of real industry problems -- The productivity analysis of a production line of the Bakery Company Novapan in Medellin city was elected as the business scenario -- The simulation was made through the discreet simulation software Promodel ® -- This Paper presents the main aspects of the analyzed business scenario, the methodology, the discrete simulation model, some simulation results, the educational proposal and some learned lessons during the development of this research