Pregled bibliografske jedinice broj: 38696
Efficient frontier for inefficient DMU in DEA model with CRS
Efficient frontier for inefficient DMU in DEA model with CRS // Sixth International Conference on Parametric Optimization and Related Topics. Abstracts / Neralić, L. ; Guddat, J. ; Jongen, H., Hirabayashi, R. ; Zlobec, S. (ur.).
Zagreb: Hrvatsko društvo za operacijska istraživanja (CRORS), 1999. (predavanje, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Efficient frontier for inefficient DMU in DEA model with CRS
Autori
Boljunčić, Valter
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Sixth International Conference on Parametric Optimization and Related Topics. Abstracts
/ Neralić, L. ; Guddat, J. ; Jongen, H., Hirabayashi, R. ; Zlobec, S. - Zagreb : Hrvatsko društvo za operacijska istraživanja (CRORS), 1999
Skup
Sixth International Conference on Parametric Optimization and Related Topics PARAOPT VI
Mjesto i datum
Dubrovnik, Hrvatska, 04.10.1999. - 08.10.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
DEA; inefficient DMU; efficient projection point
Sažetak
Data Envelopment Analysis is a set of methods and models used for assessment of relative efficiency of DMUs. Each DMU uses m inputs to produce s outputs. Based on this data the production possibility set is defined via supporting hyperplanes to the set of DMUs. Each DMU is classified as efficient or inefficient. Efficiency is considered as Pareto efficiency, i. e. DMU is efficient if it is not dominated with some (frontier) point from production possibility set with less or equal inputs or more or equal outputs. In this work we are interested in efficient frontier of production possibility set which dominates inefficient DMU under evaluation. In general situation this part of the frontier is composed of subsets of different hyperplanes. Using LP we obtain projection point along chosen input or output of inefficient DMU to the frontier of production possibility set. Dual variables in optimal simplex tableau can be interpreted as coefficients of the hyperplane which contains the obtained projection point. Using parametric programming, where only RHS is changed with parameters representing decrease in inputs and increase in outputs of ineffcient DMU under evaluation, we obtain subset of this hyperplane which dominats DMU under evaluation. Using dual pivot step we obtain neighboring hyperplanes. Proposed procedure is repeted, resulting with equations, and subsets, of all hyperplanes which dominate DMU under evaluation. Numerical example is provided.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA