Data envelopment analysis (DEA) is a technique for performance evaluation of peer decision making units (DMUs). The network DEA models study the internal structures of DMUs. Using two-stage network structures as an example, the current paper examines additive efficiency decomposition where the overall efficiency is defined as a weighted average of stage efficiencies and the weights are used to ...

Abstract The shortest path problem (SPP) is a special network structured linear programming that appears in wide range of applications. Classical SPPs consider only one objective the networks while some or all multiple, conflicting and incommensurate objectives such as optimization cost, profit, time, distance, risk, quality service may arise together real-world These types are known multi-obje...

in this paper, different input-oriented ratio-based dea (dea-r-i) models are proposed. by presenting the envelopment-additive-enhanced russell model based on the dea-r-i form, each decision making unit is evaluated and its efficiency score is calculated. also, by presenting the central resource allocation model based on the dea-r-i form, a suitable benchmark for all dmus is proposed by solving ...

Traditional data envelopment analysis (DEA) models deal with measurement of relative efficiency of decision making units (DMUs) in which multiple-inputs consumed to produce multiple-outputs. One of the drawbacks of these models is neglecting internal processes of each system, which may have intermediate products and/or independent inputs and/or outputs. In this paper some methods which are usab...

In the face of rising customer sophistication, changing industry economics, and intensified competitive pressures, common IT service delivery strategies are outdated these days. IT providers increasingly shift from traditional point-to-point offshore outsourcing to sourcing from a range of global locations. Within just a few years, delivery centres have been built up in multiple geographically ...

A widely publicized series of mergers has characterized the banking industry in recent years. Shareholder returns from these mergers have often been disappointing. This study finds delays in implementing potential operating savings and realizing benefits of scale economies may be one reason bank mergers have disappointing returns. We analyze a 200 branch network formed in a merger of four banks...

This paper attempts to determine alternative methods of benchmarking the efficiency of electric companies to aid the regulator in crafting policies in enticing them to pursue more efficient production. This paper utilizes the data of electric cooperatives (ECs) in the Philippines, the one in charge of missionary electrification yet the smallest and most heavily indebted part of distribution sec...

data envelopment analysis (dea) is a managerial powerful tool for assess the performance of decision making units (dmus). nowadays, multi-objective dea models are an attractive technique for evaluation quantity and quality aspects of performance analysis. but these models are in static. in this paper, we want to present a proposed fuzzy dynamic multi-objective dea model in which data are changi...

Data envelopment analysis (DEA) is a method for evaluating the relative efficiency of a set of firms in a production process. Estimation of cost efficiency is one of the branches of performance evaluation. Cost efficiency evaluates the ability of producing current output with minimum available cost. Now let's assume that there are several groups of firms that operate separately and have differe...

Copyright 2005 by Helena Johansson. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. Abstract Technical, allocative, and economic input efficiency scores were estimated for an unbalanced panel of Swedish dairy farms, using data envelopment analysis (DEA) and the stocha...