پديدآورندگان :
Malekian Saman samanmalekian8@gmail.com Department of Industrial Engineering, Islamic Azad University, Arak, Iran, Department of Mathematics, Islamic Azad University, Arak, Iran. , Izadikhah Mohammad tan_jant@yahoo.com Department of Industrial Engineering, Islamic Azad University, Arak, Iran, Department of Mathematics, Islamic Azad University, Arak, Iran.
كليدواژه :
Malmquist productivity index , Data Envelopment Analysis , Chance constraints , Birandom variables , IRALCO
چكيده فارسي :
In this paper we propose a new approach based on chance constrained data envelopment analyses (CCDEA) with birandom input and output data to calculate Malmquist productivity index (MPI) . In the traditional DEA-based MPI the input and output data are deterministic but the data in the real-life are often stochastic The stochastic input and output data in DEA can be represented with random variables that we use the birandom data to bring up CCDEA-based MPI. This version compared to the orginal version is more flexible and more comprehensively ,in addition to , the results are closer to reality . The proposed new approach is used to evaluate and compute the productivity growth of maintenance groups of iranian aluminium company (IRALCO).
