Natural disasters occur frequently in recent years, causing huge casualties and property losses. Nowadays, people pay more and more attention to the emergency logistics problems. This paper studies the emergency logistics problem with multi-center, multi-commodity, and single-affected-point. Considering that the path near the disaster point may be damaged, the information of the state of the paths is not complete, and the travel time is uncertainty, we establish the nonlinear programming model that objective function is the maximization of time-satisfaction degree. To overcome these drawbacks: the incomplete information and uncertain time, this paper firstly evaluates the multiple roads of transportation network based on grey theory and selects the reliable and optimal path. Then simplify the original model under the scenario that the vehicle only follows the optimal path from the emergency logistics center to the affected point, and use Lingo software to solve it. The numerical experiments are presented to show the feasibility and effectiveness of the proposed method.
School of Mathematical Sciences, University of Jinan, Jinan, Shandong China;School of Management, Shandong University, Jinan, Shandong China;School of Management, Shandong University, Jinan, Shandong China;School of Management, Shandong University, Jinan, Shandong China
Recommended Citation:
Bao-Jian Qiu,Jiang-Hua Zhang,Yuan-Tao Qi,et al. Grey-Theory-Based Optimization Model of Emergency Logistics Considering Time Uncertainty[J]. PLOS ONE,2015-01-01,10(9)