Operations Research for Transportation and Logistics

运输与物流运筹学

• 批准号: RGPIN-2019-06851
• 负责人: Crainic, TeodorGabriel
• 金额: $ 3.79万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=758121
• 关键词: Operations; Research; Transportation; Logistics

Transportation & Logistics (TL) systems support our society while raising major challenges in terms of pollution, congestion and energy consumption. We propose a comprehensive research program targeting the integrated study of interurban and urban TL systems and the associated methodological issues. Operations Research (OR) provides the scientific framework for the advanced models and methods required by the analysis, evaluation, and optimized planning and management of these systems that, in turn, challenge the discipline and motivate its continuous development. Our long-term objectives are to 1) Advance knowledge in OR and TL and disseminate the results broadly; 2) Transform results into innovative methods and decision-support tools for transfer to users; 3) train HQP; 4) Contribute to meet the TL challenge to simultaneously achieve the highest levels of efficiency, profitability, competitiveness, & low environmental footprint. The short-term objectives target gaps in knowledge and core TL design and planning issues: 1) Scheduled Service Network Design with resource management for planning consolidation-based TL multi/intermodal networks, accounting for interrelated decision layers, congestion, emissions, revenue management, and uncertainty; 2) City Logistics proposing new organizational and business models for the management of urban TL to decrease congestion, emissions and fossil fuel consumption within a sustainable urban development context; 3) New collaborative interurban TL mechanisms to fully use available capacity, add value to stakeholders, & decrease the negative impacts of TL; 4) Autonomous-vehicle fleet operations in urban (flexible transit and City Logistics) and interurban (truck platooning) environments; 5) Large-scale multi-layer multi-period Network Design with structural constraints and uncertainty; 6) Multi-attribute time-dependent Vehicle Routing and Location-Routing problems with several decision layers and synchronization. The research program aims for significant contributions to scientific knowledge and, through technological transfer, increase the efficiency and productivity of Canadian TL systems. Results will be widely and openly disseminated through presentations, technical reports and papers in refereed journals. We address major OR problems and expect our results not only to modify the state of the art and the way problems are addressed, but also to open new research perspectives in network design, routing, methods for stochastic programs, meta-heuristics, and parallel computation. We study core issues in TL and are setting standards in planning City Logistic systems. We expect to accompany authorities in addressing these challenges for Canadian cities, and our results to contribute to enhance the efficiency of TL systems in economic, service quality, impact on society and new technology terms and, thus contribute to the harmonious and sustainable development of our cities and country.

运输和物流（TL）系统为我们的社会提供支持，同时在污染，拥堵和能源消耗方面提出了重大挑战。我们提出了一个全面的研究计划，针对城市间和城市TL系统的综合研究和相关的方法问题。运筹学（OR）为这些系统的分析，评估和优化规划和管理所需的先进模型和方法提供了科学框架，这些系统反过来又挑战了学科并促进了其持续发展。我们的长期目标是：1）推进OR和TL的知识，并广泛传播成果; 2）将成果转化为创新方法和决策支持工具，以转移给用户; 3）培训HQP; 4）帮助应对TL挑战，同时实现最高水平的效率，盈利能力，竞争力和低环境足迹。短期目标针对知识和核心TL设计和规划问题的差距：1）计划服务网络设计与资源管理，用于规划基于整合的TL多/联运网络，考虑相互关联的决策层，拥堵，排放，收入管理和不确定性; 2）城市物流提出新的组织和商业模式，用于城市TL的管理，以减少拥堵，（3）新的城市间TL合作机制，以充分利用现有能力，为利益相关者增加价值，并减少TL的负面影响; 4）城市中的自动车队运营（灵活的运输和城市物流）和城际5）具有结构约束和不确定性的大规模多层多周期网络设计; 6）具有多决策层和同步的多属性时变车辆路径和位置-路径问题。 该研究计划旨在为科学知识做出重大贡献，并通过技术转让提高加拿大TL系统的效率和生产力。研究结果将通过介绍、技术报告和期刊论文广泛公开传播。我们解决主要的或问题，并期望我们的结果不仅修改的最先进的和问题的解决方式，但也开辟了新的研究视角，在网络设计，路由，随机程序的方法，元算法，并行计算。我们研究TL的核心问题，并为城市物流系统的规划制定标准。我们希望与加拿大政府一起应对这些挑战，我们的成果将有助于提高TL系统在经济、服务质量、对社会的影响和新技术方面的效率，从而为我们城市和国家的和谐与可持续发展做出贡献。