Author/Authors :
Abbaspour، M نويسنده Graduate Faculty of Environment and Energy, Science and Research Campus of IAU, P .O. Box 14515-775, Tehran, Iran and School of Mechanical Engineering, Sharif University of Technology, P. O. Box 11155-8639, Tehran, Iran , , Hosseinzadeh Lotfi، F نويسنده Department of Mathematics, Science and Research Campus of IAU, P .O. Box 14515- 775, Tehran, Iran , , Karbassi، A R نويسنده Graduate Faculty of Environment, University of Tehran, P. O. Box 14155-6135, Tehran, Iran , , Roayaei، E نويسنده EOR Research Institute, National Iranian Oil Company (NIOC) - Research & Technology Directorate, ZIP Code 1969813771, Tehran, Iran , , Nikoomaram، H نويسنده Department of Environmental Management, Science and Research Campus of IAU, P. O. Box 14515-775, Tehran, Iran ,
Abstract :
Data envelopment analysis (DEA) measures the relative efficiency of a homogenous
set of decision-making units (DMUs) when multiple inputs and outputs are present. The DEA-
based Malmquist productivity index measuring the productivity change of DMUs over time has
proven itself to be a valid tool to compare group performance. However, in the previous models
developed for this purpose, it was supposed that all factors were controllable or discretionary. It is
noteworthy that in most real cases, there are some inputs and outputs that are non-discretionary or
semi-discretionary. Therefore, the main objective of the present study was to develop the DEA-
based Malmquist productivity index on such factors to compare group performance at the same
period of time. The applicability of the proposed model has been illustrated by the comparison of
environmental performance – concerning HSE-MS principles – between the two groups of Iranian
and International oil and gas general contractors. Involving the controllability level of factors in
comparing group performance, the model offers an scalar that can easily be interpreted to compare
the performance of the two groups and to determine the superior performance.
