نتایج جستجو برای Network DEA

تعداد نتایج: 470204  

Journal: :Oper. Res. Lett. 2001
Laurens Cherchye, Tom Van Puyenbroeck,

Coelli (Oper. Res. Lett. 23 (1998) 143) introduced a multi-stage (MS-) DEA methodology that represents an interesting alternative for the treatment of slacks remaining after proportional correction in inputs or outputs. By solving a sequence of radial models, one thus arrives at the identi5cation of “more representative e7cient points” (in terms of similar input=output mixes). We show that “mos...

Journal: :European Journal of Operational Research 2016
Vincent Charles, Rolf Färe, Shawna Grosskopf,

This short communication complements the DEA model proposed by Lovell and Pastor (Eur. J. Oper. Res. 118 (1999), 46-51), by incorporating both positive and negative criteria in the model. As such, we propose a DEA model, known as pure DEA, using a directional distance function approach.

Journal: :European Journal of Operational Research 2004
Rajiv D. Banker, William W. Cooper, Lawrence M. Seiford, Robert M. Thrall, Joe Zhu,

This paper discusses returns to scale (RTS) in data envelopment analysis (DEA) for each of the presently available types of models. The BCC and CCR models are treated in input oriented forms while the multiplicative model is treated in output oriented form. (This distinction is not pertinent for the additive model which simultaneously maximizes outputs and minimizes inputs in the sense of a vec...

Journal: :European Journal of Operational Research 2010
Muhittin Oral,

Data Envelopment Analysis (DEA) has enjoyed a wide range of acceptance by researchers and practitioners alike as an instrument of performance analysis and management since its introduction in 1978. Many formulations and thousands of applications of DEA have been reported in a considerable variety of academic and professional journals all around the world. Almost all of the formulations and appl...

2008
Kaoru Tone, Miki Tsutsui,

In data envelopment analysis, there are several methods for measuring efficiency change over time, e.g. the window analysis and the Malmquist index. However, they usually neglect carry-over activities between consecutive two terms. These carry-overs play an important role in measuring the efficiency of decision making units in each term as well as over the whole terms based on the long-term vie...

Journal: :European Journal of Operational Research 2017
Wade D. Cook, José L. Ruiz, Inmaculada Sirvent, Joe Zhu,

Cook and Zhu (2007) extend the DEA structure to apply to the more general setting where DMUs fall into distinct groups whose members experience similar circumstances. As these authors state, in those cases the DMUs of a group are to be treated uniformly in terms of multiplier allocation. In the same contextual setting, the present paper proposes a DEA-based approach which is primarily focused o...

2013
Ali Mohammadi, Hossein Karami,

Nowadays, in competitive environment, a fundamental factor that helps governmental and non-governmental organizations to achieve their goals is attention to efficiency and its continuous improvement, which is only possible through continuous Efficiency Evaluation. Data Envelopment Analysis (DEA) is a suitable method for Efficiency Evaluation in organizations. But one limitation of this method i...

Journal: :European Journal of Operational Research 2009
Yao Chen, Liang Liang, Joe Zhu,

Data envelopment analysis (DEA) is a linear programming problem approach for evaluating the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. DMUs can have a two-stage structure where all the outputs from the first stage are the only inputs to the second stage, in addition to the inputs to the first stage and the outputs from the second stage. The o...

Journal: :Annals OR 2003
Yao Chen, Joe Zhu,

In performance evaluation, it is important to identify both the efficient frontier and the critical measures. Data envelopment analysis (DEA) has been proven an effective tool for estimating the efficient frontiers, and the optimized DEA weights may be used to identify the critical measures. However, due to multiple DEA optimal weights, a unique set of critical measures may not be obtained for ...

2003
Rajiv D. Banker, William W. Cooper, Lawrence M. Seiford, Joe Zhu,

This chapter discusses returns to scale (RTS) in data envelopment analysis (DEA). The BCC and CCR models are treated in input oriented forms while the multiplicative model is treated in output oriented form. (This distinction is not pertinent for the additive model which simultaneously maximizes outputs and minimizes inputs in the sense of a vector optimization.) Quantitative estimates in the f...

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