Diseño de un Sistema Multiagente de Programación de Tareas Basado en Técnicas de Inteligencia Artificial y Simulación Discreta para Sistemas de Servicio Tipo Red de Colas Multi-Clase

Abstract

In manufacturing and and service systems, the processing is complete until the customer has circulated sequentially in different stages. The complexity of the analysis required for the modeling of these systems in terms of key factors has increased the formulation of hybrid optimization methods. In this research project arises a schema of integration of queueing theory, simulation and intelligent agents that allows the formulation of feasible routing policies on multi-class queueing networks. The Multiagent system proposed is a viable alternative to achieve the proper balance in the systems use of resources and capacity through different values of operation variables.