First presenter			Co-presenter(s)
Name :	William C. Bauldry *		Name:
E-mail:	BauldryWC@appstate.edu		E-mail:
Affiliation:	ASU		Name:
Department:			E-mail:
City:			Name:
State/Province:			E-mail:
Country:	USA		Name:
Talk Number:	12-06		E-mail:
Session:	12- Nonstandard Applications of Computer Algebra		Schedule:   Room:	Friday, 11:30   B-3420
Related website:
Title of presentation:	Data Envelopment Analysis with Maple 13
Abstract:
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 Input-Output ratio form of DEA is nonlinear and is quite difficult to compute; Maple makes it feasible to attempt.