A system dynamics model for the pricing of tuition is presented, illustrating how such models enable decision-makers to anticipate cause-and-effect relationships and test alternative courses of action. (Author)

A decision support application based on the Markov analytic model is described, and its use in the formation of policy concerning reduction in force and work force distribution is illustrated through the comparative modeling of two personnel management policies. (MSE)