Operations Research for Transportation and Logistics

运输和物流（TL）系统在支持我们社会的同时，也提出了污染、拥堵和能源消耗方面的重大挑战。我们提出了一个综合性的研究计划，针对城市间和城市TL系统的综合研究以及相关的方法问题。运筹学（OR）为这些系统的分析、评估、优化规划和管理所需的先进模型和方法提供了科学框架，反过来，挑战了这门学科并激励了它的持续发展。我们的长期目标是：1)提高OR和TL方面的知识，并广泛传播结果；2)将结果转化为创新方法和决策支持工具，并向用户传递；3)培养HQP；4)努力应对TL挑战，同时达到最高水平的效率、盈利能力、竞争力和低环境足迹。短期目标针对知识差距和核心TL设计与规划问题：1)规划基于合并的TL多/多式联运网络的计划服务网络设计与资源管理，考虑相互关联的决策层、拥塞、排放、收益管理和不确定性；2)城市物流为城市物流管理提出新的组织和商业模式，以减少城市可持续发展背景下的拥堵、排放和化石燃料消耗；3)建立新的城市间协作性迁移机制，充分利用现有能力，为利益相关者增加价值，减少迁移的负面影响；4)城市（灵活交通和城市物流）和城际（卡车队列）环境下的自动车队运营；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。研究结果将通过演讲、技术报告和在评审期刊上发表的论文广泛和公开地传播。我们解决了主要的OR问题，并期望我们的结果不仅能改变目前的技术状况和解决问题的方式，而且还能在网络设计、路由、随机程序方法、元启发式和并行计算方面开辟新的研究视角。我们研究物流的核心问题，并制定城市物流系统规划的标准。我们希望与当局一起解决加拿大城市面临的这些挑战，我们的成果有助于提高TL系统在经济、服务质量、社会影响和新技术方面的效率，从而为我们的城市和国家的和谐与可持续发展做出贡献。

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.