期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 65, 期 -, 页码 70-83出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2013.12.013
关键词
Integer programming; Aircraft load planning; Weight and balance
类别
资金
- Belgian Science Policy Office (BELSPO) in the Interuniversity Attraction Pole COMEX
- Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen)
- [IWT 080432]
The present contribution introduces a mixed integer linear programming model as a decision support tool for air cargo load planning. The main objective for the model is to find the most profitable selection from a set of cargo to be loaded on an aircraft. The secondary objective is to minimise the deviation between the aircraft's centre of gravity, and a known target value so as to reduce fuel consumption and improve stability. The model is subject to a large number of constraints that ensure structural integrity and stability of the aircraft, as well as the safety of the cargo and crew. A set of additional constraints guarantees safe and efficient loading and unloading. Experimental results on real-life data show that the model outperforms human expert planners on both objectives, while remaining computationally fast enough for interactive use. This advocates the use of such a decision support model for all air cargo load planning. (C) 2014 Elsevier Ltd. All rights reserved.
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