In the last decades the competition in the automotive market, in all segments, has become very strong. This motivation has pushed all OEM (Original Equipment Manufacturers) to develop complex and high technical products, with more and more variants, that satisfy the increasing customer requirements on style, quality, safety, comfort and environmental protection. OEM have tried to shorten the ti...

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.

The fundamental weakness of a Data Envelopment Analysis (DEA) is its weak discrimination in cases when small number of Decision Making Units (DMU) have been compared. Therefore in such cases the basic DEA model is used in combination with other methods or additional constraints are added to the model. In this paper, the Cross-efficiency method has been combined with the Potential Method (PM).

In this paper Malmquist productivity index(MPI) for decision making unit(DMU) with interval data has been evaluated.A method for assessing Malmquist productivity index using cost efficiency also has been developed.The applicability of the methods developed is illustrated in the context of the analysis of groups of teaching of university performance.

Statistics from the Taiwan Tourism Bureau (TTB) state that travelers to Taiwan in 2006 spent an average of 44.74% of their daily spending at hotels. Thus, the quality of services and the level of operational performance at hotels is key to the rise or fall of the tourism industry. Hotels in Taiwan can be divided into two groups: general and international tourist hotel (ITH). Between 1992 and 20...