The increasing complexity of educational operations make analytical tools, such as computer simulation models, especially desirable for educational administrators. This MA thesis examined the feasibility of developing computer simulation models of economic systems in higher education to assist decision makers in allocating resources. The report…

Describes and illustrates the use of a model used at the University of Vermont College of Medicine to examine both financial implications and effect on faculty effort of any planned programmatic changes, e.g. effect of specific enrollment increase on basic sciences and clinical training departments. (JT)

A chapter for a larger volume which discusses the rise of the multiuniversity and the possibilities for planning in systems analysis. The system described is the C.A.M.P.U.S. system, an acronym for Comprehensive Analytical Methods for Planning in University Systems. Three subsystems are discussed--(1) program planning and budgeting, (2) simulation…

Presents and illustrates a goal-programming model for long-range budget planning and resource allocation. Goals are faculty instruction loads, staff-to-faculty ratios, faculty distribution by rank, and teaching-assistant-to-faculty ratios. Decision variables are the faculty, staff, and teaching-assistant levels in each of several academic units.…

Higher education faces continuing cost pressures from a multitude of new demands. The consequence is a new emphasis upon resource allocation that is only possible if the required data about program costs, program outputs, and program income are readily available. The task of the new management in higher education is to gather the needed…

This conference on program budgeting was planned to accomplish four objectives: (1) provide a basic orientation for academic administrators by defining program budgeting, and explaining how it might help their institutions; (2) interpret the vocabulary of systems analysis; (3) identify the different levels of involvement at which an institution…

A computer simulation model for allocating facilities and physical space is presented as a means of optimally allocating available educational resources. The model allows the decisionmaker to change specific program allocations, system parameters, and other controllable variables in order to determine the effects, both cost and utility, of these…