the Stochastic Optimization of Transportation and Logistics Systems

运输和物流系统的随机优化

• 批准号: CRC-2016-00226
• 负责人: Rei, Walter
• 金额: $ 8.74万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 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=663139
• 关键词: Stochastic; Optimization; Transportation; Logistics; Systems

Uncertainty affects all forms of decision-making, especially in the case of planning transportation and logistics systems, considering the variations, disruptions and extreme events that can occur. Therefore, the Canada Research Chair in the Stochastic Optimization of Transportation and Logistics Systems aims to develop novel and efficient methodologies to deal with uncertainty when solving optimization problems arising in organizational planning. Three general research questions are investigated. How should optimization models that explicitly consider uncertainty be formulated and how should the impacts of this uncertainty be assessed? How should the resulting formulations be solved? How can the developed methodologies be validated?

不确定性会影响所有形式的决策，尤其是在计划运输和物流系统的情况下，考虑到可能发生的变化，中断和极端事件。因此，加拿大运输和物流系统随机优化的研究主席旨在开发新颖而有效的方法，以解决组织计划中出现的优化问题时处理不确定性。 研究了三个一般研究问题。如何将明确考虑不确定性的优化模型进行表述，以及如何评估这种不确定性的影响？ 应如何解决产生的配方？如何验证开发的方法？