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Mathematical Problems in Engineering
Volume 2014, Article ID 971861, 8 pages
http://dx.doi.org/10.1155/2014/971861
Research Article

Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty

1School of Science, Beijing University of Chemical Technology, Beijing 100029, China
2College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China

Received 8 February 2014; Revised 12 July 2014; Accepted 15 July 2014; Published 20 August 2014

Academic Editor: X. Zhang

Copyright © 2014 Jiang DongQing and Zhu QunXiong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.