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This paper describes our work in using mathematical optimization to assist air cargo load planning for an air cargo company, one of the world's top 10 air cargo carriers. The airline handles roughly 80 to 90 thousand tones of cargo each month. With this volume of cargo, even the slightest improvement in the load planning process will have a major impact to(More)
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