Two-stage network data envelopment analysis (DEA) is widely used to evaluate efficiency of different organizations with multiple operations processes or hierarchical structures. Although existing two-stage DEA assumes systems resolve the inherent conflicts between two stages, coordination effect stages usually ignored. Recently, relation traditional “black box” has been studied from perspective...

Most applications of data envelopment analysis (DEA) employ standard constant or variable returns-to-scale (CRS or VRS) models. In this paper we suggest that these models may sometimes underutilize our knowledge of the underlying production process. For example, in the context of higher education considered in the reported application, individual universities often maintain a certain student-to...

the purpose of this article is the measurement of technical efficiency and returns to scale using data envelopment (dea) approach. in this study, we have measured efficiency quantity and economies of scale for state owned insurance and private companies for 1384-1385 periods. the results reveal that in the dea with the assumption of variable returns to scale, iran, tosee and razi companies have...

In this paper, we introduce a novel multi-period data envelopment analysis (MDEA) model that attempts to circumvent the limitations of existing MDEA models. The proposed global is essentially based on major modifications fundamental DEA axioms enable decision making unit (DMU), defined with inputs and outputs period t , be evaluated within production possibility set (PPS) another l ≠ l. Buildin...