The performance of a supply chain can be evaluated in either a cross-sectional or a time series manner, and data envelopment analysis is a useful method for both types of evaluation. In this paper we develop an index and indicator of productivity change that can be used with radial and non-radial models for supply chain malmquist index. The supply chain malmquist productivity index (SCMPI) can ...

The conventional Malmquist productivity index (MPI) measures the performance improvement of a production system between two periods, where the system is treated as a black box, ignoring the internal operations of the component processes. Based on a relational model of the data envelopment analysis (DEA) for measuring the system and process efficiencies, this paper develops a methodology for cal...

Electricity generation in thermal power plants as the largest producer of electricity in Iran is associated with greenhouse gas emissions. In this paper, using the Malmquist-Luenberger method, green productivity, and efficiency changes are measured for 31 thermal power plants (including 12 steam power plants, 13 gas power plants, and six combined cycle power plants) during 2009-2016. The result...

   The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in efficiency of a DMU between two time periods. It is defined as the product of the Catch-up and Frontier-shift terms. In this pape...

Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficiency. In this paper, utilizing the directional distance function model in the presence of undesirable outputs, the efficiency of each ...

this study uses the data envelopment analysis (dea) to assess the progress/regression of decision-making units (dmus) having a two-stage structure‎. ‎the progress/regression of these dmu can be assessed in the first stage‎, ‎the second stage‎, ‎and the whole system‎. ‎in the first stage‎, ‎the progress/regression of bank branches in collecting resources and in the second stage their progress/re...

The data envelopment analysis (DEA) based Malmquist productivity index measures the productivity change over time. It can be further decomposed into two components: the change in efficiency and the technical change. In this study, a specific road safety outputoriented DEA-based Malmquist productivity index is introduced to assess the changes in road safety performance of 26 EU countries from 20...

This paper analyses hospital performance using Data Envelopment Analysis (DEA) and the Malmquist productivity index. We follow two approaches to quantify movements in productivity: (1) the traditional approach that only considers output and input variables; and (2) a more comprehensive approach that incorporates movements in quality and restricts some achievements, if quality is reduced. On the...

The purposed-the main purpose of this study is to look at the development of efficiency and productivity in the military hospital sector of Tehran province, by applying a nonparametric method. Design/methodology/approach- The study applied the nonparametric method to assess the efficiency of military hospitals service in Iran, Tehran, over the period 2013-2016. Utilizing non-parametric me...