Applications of operations research to transportation, logistics, and healthcare

运筹学在交通、物流和医疗保健中的应用

• 批准号: RGPIN-2015-04696
• 负责人: Gendreau, Michel
• 金额: $ 3.93万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651675
• 关键词: Applications; operations; research; transportation; logistics

The research program is part of a continuing effort aimed at developing effective decision support tools (mathematical models, solution algorithms and computer procedures and software) to tackle important problems encountered in the planning and operations of transportation and logistical networks, as well as in healthcare.***The research will focus on the following problem areas:***- vehicle routing in various contexts (home delivery of goods, city logistics, forestry, etc.), including vehicle routing with uncertain data;***- real-time fleet management;***- the use of Big Data in vehicle routing and real-time fleet management;***- the design of closed-loop supply chains for durable products;***- scheduling of some production processes;***- deployment of fleets of ambulances;***- the use of optimization tools in critical radiotherapy and chemotherapy treatments for cancer;****- methodological issues related to the design of more effective solution methods for the problems listed above.******Efforts will be made to ensure the transfer of the results of the research program to industry and public authorities that are most susceptible to use them.******Considering the huge amounts that the public and the private sectors devote each year to the deployment and operation of transportation and logistical networks, as well as healthcare, the long-term socio-economic impact of this research program could prove to be extremely significant.**

该研究计划是旨在开发有效的决策支持工具（数学模型，求解算法和计算机程序和软件）的持续努力的一部分，以解决运输和物流网络的规划和运营中遇到的重要问题，以及医疗保健。研究将集中在以下问题领域：*-各种情况下的车辆路线（货物送货上门，城市物流，林业等），包括不确定数据的车辆路线;*-实时车队管理;*-在车辆路线和实时车队管理中使用大数据;*-耐用产品闭环供应链的设计;*-某些生产流程的调度;*-救护车车队的部署;*-在癌症的关键性放射治疗和化学治疗中使用优化工具;*-与设计更有效的解决上述问题的方法有关的方法问题。将努力确保将研究计划的成果转移给最容易使用它们的行业和公共当局。考虑到公共和私营部门每年在运输和物流网络以及医疗保健的部署和运营方面投入的巨额资金，该研究计划的长期社会经济影响可能被证明是极其重要的。