Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering

Routing problems in emergency logistics based on improved data envelopment analysis

Authors
X.X. Zhu, S.Y. Wang
Corresponding Author
X.X. Zhu
Available Online April 2015.
DOI
10.2991/peee-15.2015.74How to use a DOI?
Keywords
The improved data envelopment analysis, Multi-objective decision-making, Route optimization, Emergency logistics.
Abstract

Emergency decision making is still an important issue for unconventional emergency management. For non-standardized weight distribution in the data envelopment analysis model, an improved data envelopment analysis model by constructing two decision making units, which have the highest and the lowest efficiency to expand the scope of the efficiency value and to avoid the influence of artificial factors on the decision is proposed. Aiming at choices of routing optimization in emergency logistics, this paper also uses multi-objective decision-making to solve problems, i.e., time, cost and transportation distance of materials. Finally, the validity of the approach and the applied process of the proposed model are tested by a numerical example with the case of the earthquake emergency in Gansu Province, China.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/peee-15.2015.74
ISSN
2352-5401
DOI
10.2991/peee-15.2015.74How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - X.X. Zhu
AU  - S.Y. Wang
PY  - 2015/04
DA  - 2015/04
TI  - Routing problems in emergency logistics based on improved data envelopment analysis
BT  - Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering
PB  - Atlantis Press
SP  - 270
EP  - 272
SN  - 2352-5401
UR  - https://doi.org/10.2991/peee-15.2015.74
DO  - 10.2991/peee-15.2015.74
ID  - Zhu2015/04
ER  -