A new approach or model to the dynamic DEA, referred to as the adjusted dynamic DEA, is proposed in this study. Adjusted dynamic DEA optimizes the production activity of DMUs by introducing adjustment variables to modify the interconnecting activities between consecutive terms, solving conflicts that arise between terms and between management and shareholders. The non-oriented SBM model is used...

in dea to obtain an efficient representation in ccr andbcc models for each dmu only one linear plan would be solved; however,it is possible in centralized resource allocation (cra) to solve allthe dmus by one linear planning. in this paper, models of centralizedresource allocation in input-oriented and in dynamic case will be offeredand by using dynamic sbm, the representation of dmus in each t...

The airline industry faces economic challenges making it paramount that they provide satisfactory service to customers relative to their expectations. This study uses a service quality-adjusted data envelopment analysis (SQ-adjusted DEA) to study US-based airline carrier operational efficiency. We found that airlines can overcome the traditional tradeoff between quality and productivity. Using ...

data envelopment analysis (dea) measures the relative efficiency of decision making units (dmus) with multiple inputs and multiple outputs. dea-based malmquist productivity index measures the productivity change over time. we propose a dynamic dea model involving network structure in each period within the framework a dea. we have previously published the network dea (ndea) and the dynamic dea ...

the motivation of this paper is to propose such equitable method for ranking all decision making units (dmus) in dynamic data envelopment analysis (ddea) framework. as far as we are aware there is not more studies in dynamic dea literature. what's more, in such cases the best operating unit is important to be sampled for the others in under evaluated time periods. however, in this special conce...

The purpose of this paper is twofold. First, we develop a multi-period dynamic multi-process network DEA (data envelopment analysis) model. Second, we apply this methodology to Japanese prefectural time series data. In this framework, we specify that prefectural technology consists of two sectors, called the human capital generating sector and the physical capital formation sector. Each sector ...

We propose a dynamic DEA model involving network structure in each period within the framework of a slacks-based measure approach. We have previously published the network SBM (NSBM) and the dynamic SBM (DSBM) models separately. Hence, this article is a composite of these two models. Vertically, we deal with multiple divisions connected by links of network structure within each period and, hori...

this paper deals with the problem of optimizing two-stage structure decision making units (dmus) where the activity and the performance of two-stage dmu in one period effect on its efficiency in the next period. to evaluate such systems the effect of activities in one period on ones in the next term must be considered. to do so, we propose a dynamic dea approach to measure the performance of su...

A technique used to assess relative performance in a multiple input–output framework is data envelopment analysis (DEA). In basic DEA models, an entitymay show its best performanceby selecting input and output factor weights different from those selected by the other entities in thesample. Hence, when usingbasic DEAmodels, divergence of weighting schemesacross the assessedentitiescannot beruled...