This paper examines effects of combining long-range planning and computer-based modeling in institutions of higher education, with examples from application at Butler University (Indiana). The model was developed due to a need to obtain a 5-year forecast of revenues and expenditures and consists of eight dynamic submodels--one for each of the five academic colleges, an endowment spending submodel, a financial aid submodel, and a main university submodel, all interactively linked. The university submodel is the primary model and incorporates two types of data: (1) planning variables; and (2) summaries of revenues and expenses affected by these variables. The five academic college submodels incorporate expected changes, and such data as retention rates, average number of credit hours per student, class size, and student/faculty ratios. The model is unique in requiring input from both administrative and academic units. Contributions of the model have included enabling the administration to comprehend the effects of student enrollments on tuition revenues, to integrate academic deans into financial planning, to orient newly hired administrators and deans, and to foster participatory planning. (Includes 21 references.) (DB)