Using input process indicators for dynamic decision making

In a continually changing environment, a simulation study that integrates the activities of data collection, model analysis and decision making has some distinct advantages. In this paper, we look at simulation project dynamics from a high level, and we examine some ways to integrate these activities. From this perspective, the processes used to drive a simulation model are forecasts of environmental changes, and the parameters for the models of these processes are viewed as leading indicators. A simple decision-making scenario having some of the characteristics of semiconductor manufacturing is used to illustrate the ideas