TY - GEN
T1 - Study on the emergency material allocation from the perspective of cross-regional rescue
AU - Wang, Yan Yan
AU - Sun, Bai Qing
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - Emergency material allocation is essential to improve emergency rescue effectiveness and reduce disaster losses, which has become a research focus for emergency response. However, it is seldom given due consideration in disaster response from cross-regional rescue perspective. For this reason, the paper breaks the traditional regional emergency rescue mode and proposes a cross-regional emergency material allocation model with the goal of the lowest transportation costs, the shortest delivery time and the maximum satisfaction of the victims. Finally, Numerical experiment and analysis are conducted to demonstrate the feasibility of the proposed model. The results show that the proposed model can make the emergency material allocation more efficient and fair, and can provide method and decision support for the cross-regional emergency rescue.
AB - Emergency material allocation is essential to improve emergency rescue effectiveness and reduce disaster losses, which has become a research focus for emergency response. However, it is seldom given due consideration in disaster response from cross-regional rescue perspective. For this reason, the paper breaks the traditional regional emergency rescue mode and proposes a cross-regional emergency material allocation model with the goal of the lowest transportation costs, the shortest delivery time and the maximum satisfaction of the victims. Finally, Numerical experiment and analysis are conducted to demonstrate the feasibility of the proposed model. The results show that the proposed model can make the emergency material allocation more efficient and fair, and can provide method and decision support for the cross-regional emergency rescue.
KW - Cross-regional rescue
KW - Efficiency-fairness principle
KW - Emergency material allocation
KW - Multiple objective optimization model
UR - https://www.scopus.com/pages/publications/85073899196
U2 - 10.1109/ICMSE.2018.8745361
DO - 10.1109/ICMSE.2018.8745361
M3 - 会议稿件
AN - SCOPUS:85073899196
T3 - International Conference on Management Science and Engineering - Annual Conference Proceedings
SP - 331
EP - 337
BT - 2018 International Conference on Management Science and Engineering - 25th Annual Proceedings, ICMSE 2018
A2 - Tao, Ma
A2 - Zhen, Shao
A2 - Li, Mengyue
PB - IEEE Computer Society
T2 - 25th Annual International Conference on Management Science and Engineering, ICMSE 2018
Y2 - 17 August 2018 through 20 August 2018
ER -