We will present the ``Data Envelopment Analysis'' (DEA) technique using
Maple 13. DEA is an operations research tool that uses the simplex algorithm
to evaluate the relative efficiency of `decision making units' (DMU's) in
an organization. We will illustrate DEA by applying the method to analyze
the 16 departments of the College of Arts & Sciences at Appalachian State
University. Computer algebra is best at easily handling the large scale
computations intrinsic to DEA studies. The College of Arts & Sciences
DEA analysis, a simplified example, requires 16 simplex optimizations
each over 16 variables with 3 constraints. A significant DEA study would
likely involve 30 or more simplex optimizations with a much larger number
of variables and of constraints for each run. The original InputOutput
ratio form of DEA is nonlinear and is quite difficult to compute; Maple
makes it feasible to attempt.
