Title :
A Quick and Efficient Algorithm to the Emergency Supplies Distribution Centers Location Problem
Author :
Shengli Pan ; Jun Tian ; Yingluo Wang
Author_Institution :
Inf. Manage. & E-Bus. Dept., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
Being high restricted by the conditions of roads, places and facilities under emergency situations, the location problems of emergency supplies distribution centers are suitable to adopt scattered optimization location modeling. The paper firstly set up the objective function of the location problem of emergency supplies distribution centers based P-centre model. And for meeting the needs of quickly get the solutions under the emergency requirements, the paper proposed an optimizing location algorithm according to the principles of 0-1 programming and dynamic programming, which could simply the solving process and to get the solutions of the best number of distribution centers and the optimal supplies distributing schemes at the same time. The efficiency of the algorithm is then estimated, and it is proved to have the functions of effectively cutting down the complexity of the calculations and improving the speeds in solving this kind of problems. Finally, a calculating case is demonstrated and the practicability of the algorithm is validated.
Keywords :
distribution strategy; dynamic programming; emergency services; facility location; 0-1 programming principles; dynamic programming principles; emergency requirements; emergency situations; emergency supply distribution center based P-centre model; emergency supply distribution center location problem; optimizing location algorithm; scattered optimization location modeling; Algorithm design and analysis; Cities and towns; Equations; Linear programming; Mathematical model; Programming; Search problems; Emergency supplies distribution Center; Facilities Location problem; P-model; optimization algorithm;
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
DOI :
10.1109/GCIS.2012.73