One of the issues in Data Envelopment Analysis (DEA) is sensitivity and stability region of the speci c decision making unit (DMU), included ecient and inecient DMUs. In sensitivity analysis of ecient DMUs,the largest region should be found namely stability region thatdata variations are only for ecient DMU under evaluation and the data for the remainingDMUs are assumed xed. Also ecient DMU u...

This paper addresses issue of sensitivity of efficiency classification of variable returns to scale (VRS) technology for enhancing the credibility of data envelopment analysis (DEA) results in practical applications when an additional decision making unit (DMU) needs to be added to the set being considered. It also develops a structured approach to assisting practitioners in making an appropria...

This paper explores the decision-making process of international non-EU postgraduates when choosing a qualification from UK business school and proposes new model which reflects iterative, cyclical continuous nature process. The degree rigour rationality employed in was often limited influenced by culture composition unit (DMU). A Decision Maker Typology is proposed will support segmentation st...

Data Envelopment Analysis (DEA) has become an established approach in the analysis of efficiency problems in both public and private sectors. The aim of this paper is to present and apply a newly developed, adjusted DEA model – emerging from a blend of a Distance Friction Minimization (DFM) and a Goals Achievement (GA) approach on the basis of the Charnes-Cooper-Rhodes (CCR) method – in order t...

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 paper, ...

In-memory computing (IMC) aims to solve the performance gap between CPU and memories introduced by memory wall. However, it does not address energy wall problem caused data transfer over hierarchies. This paper proposes data-locality management unit (DMU) efficiently from a DRAM computational SRAM (C-SRAM) allowing IMC operations. The DMU is tightly coupled within C-SRAM allows one align struct...

Data Envelopment Analysis (DEA) has become an established approach in efficiency improving strategies in industrial and regional programming. The aim of the present paper is to propose a new and recently developed Distance Friction Minimization (DFM) model in the context of DEA in order to provide an appropriate efficiency-improving projection model. The standard DEA models, including the Charn...

This paper gives a new application of DEA to evaluate the scheduling solutions of parallel processing. It evaluates the scheduling solutions of parallel processing using the non-convex DEA model, FDH model. By introducing each solution of parallel processing scheduling as a DMU with some relevant inputs and outputs this paper shows that how the most efficient schedule(s) can be identified.