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...

In this paper, we reformulate the conventional DEA models as an imprecise problem and propose a novel method for evaluating DMUs when inputs outputs are fuzzy and/or ordinal or vary in intervals. For purpose, convert all data into interval data. order to each number data, use nearest weighted approximation of numbers by applying weighting function, one. manner, could The presented determine eff...

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...

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.

The problem of determining an optimal benchmark to inefficient decision-making units (DMUs) is important issue in the field performance analysis. Previous methods for projection points DMUs have only focused on one objective and other features been ignored. This paper attempts determine best point each DMU when inputs outputs data are stochastic form presents alternative definition by consideri...