Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
DongQing, Jiang& QunXiong, Zhu. 2014. Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-512496
Modern Language Association (MLA)
DongQing, Jiang& QunXiong, Zhu. Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-512496
American Medical Association (AMA)
DongQing, Jiang& QunXiong, Zhu. Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-512496
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512496