First presenter Co-presenter(s)
Name :  William C. Bauldry * Name:   
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Affiliation: ASU Name:   
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12-06  E-mail:    
Session: 12- Nonstandard Applications of Computer Algebra Schedule:
Friday, 11:30
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Title of
Data Envelopment Analysis with Maple 13
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.