Proceedings of the 2005 Winter Simulation Conference

We design a generic framework to integrate distributed simulation and optimization models. Many problems re-quire the integration of these two types of models. For ex-ample, stochastic programming can use simulation models as a scenario generator for optimization models; in some other cases, simulation models need optimization models to help determine system parameters. The framework is shown to be able to provide various services to help the in-tegration of simulation and optimization models. We illus-trate our implementation with a product-mix example. The example integrates a discrete event simulation of a prod-uct-mix problem with a linear programming (optimization) model of such a system. The simulation updates the pa-rameters in the optimization model, which as a result will generate a new production plan