4.1 Article

DEA based resource allocation considering environmental factors

Journal

MATHEMATICAL AND COMPUTER MODELLING
Volume 58, Issue 5-6, Pages 1128-1137

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mcm.2011.11.030

Keywords

Resource allocation; DEA; Environment factors; Undesirable outputs

Funding

  1. National Natural Science Funds of China for Innovative Research Groups [70821001]
  2. National Natural Science Funds of China [70901069]
  3. Special Fund for the Gainers of Excellent Ph.D Dissertations and Dean's Scholarships of Chinese Academy of Sciences
  4. Research Fund for the Doctoral Program of Higher Education of China for New Teachers [20093402120013]
  5. Research Fund for the Excellent Youth Scholars of Higher School of Anhui Province of China [2010SQRW001ZD]
  6. Social Science Research Fund for Higher School of Anhui Province of China [2010SK004]

Ask authors/readers for more resources

Resource allocation, as an important issue in management science, has drawn a lot of attention from both relative researchers and corporate managers. In recent years, data envelopment analysis (DEA) has been popularly applied in this field. In this paper, we propose some new DEA models, which consider both economic and environmental factors in the allocation of a given resource. Three scenarios of the given resource in the next period will be considered: one is larger than that in the present period, another is smaller than that in this period and the third is equal to that in this period. Two objective functions are formulated for the three scenarios, i.e., maximizing the total desirable outputs and minimizing the total undesirable outputs. The approach retains the advantages of traditional DEA, unit-invariant property, objectively-determined weights of inputs and outputs, and perfect dealing with multi-inputs and multi-outputs. An example is also employed to illustrate the approach. (C) 2011 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available