Abstract
Grain transportation plays an important role in many relief and emergency supply chains. In this paper, we take the grain emergency vehicle scheduling model between multiwarehouses as the research object. Under the emergency environment, the aim of the problem is to maximize the utilization of vehicles and minimize the delay time. The randomness of the key parameters in grain emergency vehicle scheduling, such as time and demand, is determined through statistical analysis and the model is solved through robust optimization method. Besides, we apply the numerical examples for experimental analysis. We compare the robust optimization model with classic model to illustrate the differences and similarities between them. The results show that the uncertainty of both time and demand has great influence on the efficiency of grain emergency vehicle scheduling problem.
Highlights
In recent years, a lot of large-scale public emergencies occurred frequently, such as the outbreak of SARS in 2003, the Wenchuan earthquake in China in 2008, and the Fukushima nuclear explosion in Japan in 2011, which resulted in huge losses, and left a grieving memory in people’s mind
The results show that the uncertainty of both time and demand has great influence on the efficiency of grain emergency vehicle scheduling problem
We propose the robust counterpart problem for grain emergency vehicle scheduling problem with both time and demand uncertainty belonging to a box uncertainty set U
Summary
A lot of large-scale public emergencies occurred frequently, such as the outbreak of SARS in 2003, the Wenchuan earthquake in China in 2008, and the Fukushima nuclear explosion in Japan in 2011, which resulted in huge losses, and left a grieving memory in people’s mind. In this paper we will establish a grain emergency vehicle scheduling model, in which time and demand. The aim of the problem is to maximize the utilization of vehicles and minimize the delay time. We assume that both the time and demand uncertainty belongs to a box uncertainty. After determining the uncertainty of time and demand, we establish the vehicle scheduling model with parameters determined and undetermined. The results show that the uncertainty of both time and demand has great influence on the efficiency of grain emergency vehicle scheduling problem.
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