Modeling of the Air Cargo network flow optimization

航空货运网络流量优化建模

• 批准号: 469220-2014
• 负责人: Zhang, Guoqing
• 金额: $ 1.82万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=563357
• 关键词: Modeling; Air; Cargo; network; flow

Canada's air transportation industry is at the heart of Canada's 21st Century economy. Air Canada Cargo is Canada's largest provider of air cargo services, which are provided on domestic and U.S. transborder flights and on international cargo services. The air cargo transportation system is a large and complex service system. The proposed project aims to optimize the utilization of the vast network in order to maximize the fulfilled demand, and minimizing the distance needed to travel. The result of this research will provide a tool that is able to react to the quick changes of both supply and demand, and come up with solutions to satisfy its objectives. The improvement of utilization of cargo network flow has significant impact on Canada's

加拿大的航空运输业是加拿大21世纪世纪经济的核心。加航货运是加拿大最大的航空货运服务提供商，提供国内和美国跨境航班以及国际货运服务。航空货物运输系统是一个庞大而复杂的服务系统。拟议项目旨在优化庞大网络的利用率，以最大限度地满足需求，并最大限度地减少旅行距离。这项研究的结果将提供一个工具，能够对供需双方的快速变化做出反应，并提出解决方案，以满足其目标。货运网络流量利用率的提高对加拿大的