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040 _aDLC
_cUPMin
_dupmin
041 _aeng
090 0 _aLG993.5 2008
_bA64 B33
100 _aBacus, Mary Grace Berco.
245 2 _aA super-efficiency data envelopment analysis (DEA) sensitivity analysis algorithm for fixed input allocation /
_cMary Grace Berco Bacus.
260 _c2008
300 _a60 leaves.
502 _aThesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2008
520 3 _aData envelopment analysis (DEA) is a mathematical programming technique to evaluate the efficiency of similarly operating entities relative to each other in terms of consuming inputs to produce outputs. Nevertheless, hardly any DEA literature has focused on the subject of fixed input allocation or incorporated minimization of the number of relatively inefficient entities in an organization to DEA sensitivity analysis. The study used the super-efficiency DEA (SE-DEA) sensitivity analysis findings of Zhu (2001) to produce an algorithm for adjusting the distribution of fixed resources to minimize the number of inefficient units. To formulate the SE-DEA algorithm, the paper arrived at propositions and presented formalized rules to increase rate and decrease rate for reallocation of a fixed input. To illustrate the developed algorithm numerically, it was implemented to redistribute each of a charity foundation's fixed yearly financial resources from 2003 to 2006 to its quarterly programs. Results showed that the SE-DEA sensitivity analysis algorithm is a promising approach to fixed input allocation for optimizing relative efficiency in an organization
650 1 7 _aEfficiency analysis.
650 1 7 _aFixed input allocation.
650 1 7 _aSuper-efficiency algorithm.
650 1 7 _aDEA (Data Envelopment Analysis)
650 1 7 _aSE (Super-efficiency)
650 1 7 _aMathematical programming techniques.
650 1 7 _aSE-DEA (Super-efficiency-Data envelopment analysis) algorithms.
658 _aUndergraduate Thesis
_cAMAT200
905 _aFi
905 _aUP
942 _2lcc
_cTHESIS
999 _c2243
_d2243