Predavanje "Kongestija u stohastickoj analizi omedjivanja podataka: Pristup relaksacije inputa"

 U okviru Seminara za matematicko programiranje i teoriju igara u utorak, 6.9.2011. predavanje ce odrzati Prof. dr. sc. Luka Neralic, redoviti profesor na Katedri za matematiku Ekonomskog fakulteta u Zagrebu. Naslov predavanja je

"Kongestija u stohastickoj analizi omedjivanja podataka: Pristup relaksacije inputa"

Predavanje ce se odrzati u u 12 sati u dvorani 37 na Ekonomskom fakultetu Zagreb.

Sažetak:

CONGESTION IN STOCHASTIC DATA ENVELOPMENT ANALYSIS: AN INPUT RELAXATION APPROACH
M. Asgharian, M. Khodabakhshi and L. Neralić
Abstract: The input relaxation model and its stochastic version, recently introduced in Data Envelopment Analysis (DEA) literature, uses more flexibility in changes of the used input combination to find the maximum possible output and can be useful to resource management. We study congestion in this setting. Deterministic equivalent to the stochastic congestion model is obtained. The deterministic equivalent is typically non-linear. It is, however, shown that under fairly general conditions this non-linear model can be replaced by an ordinary deterministic DEA model. When allowable limits of data variations for evaluating Decision Making Unit (DMU) is permitted, sensitivity analysis is studied.