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- Title
Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty.
- Authors
Jiang DongQing; Zhu QunXiong
- 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 multiware houses 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.
- Subjects
PROBLEM solving; UNCERTAINTY (Information theory); SUPPLY chain management; ROBUST control; MATHEMATICAL optimization
- Publication
Mathematical Problems in Engineering, 2014, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2014/971861