Operations Research for Transportation and Logistics

运输和物流(TL)系统在支持我们的社会的同时，也带来了污染、拥堵和能源消耗方面的重大挑战。我们提出了一个全面的研究计划，旨在对城市间和城市间的TL系统及其相关的方法论问题进行综合研究。运筹学(OR)为分析、评估和优化这些系统的规划和管理所需的先进模型和方法提供了科学框架，反过来又挑战了这一学科，并推动了它的持续发展。我们的长期目标是：1)增进运筹学和运筹学方面的知识，并广泛传播成果；2)将成果转化为创新的方法和决策支持工具，以便转移给用户；3)培训HQP；4)为迎接运筹学挑战做出贡献，以同时实现最高水平的效率、盈利能力、竞争力和低环境足迹。短期目标针对的是知识差距和核心TL设计和规划问题：1)为规划基于TL的多式联运网络进行资源管理的调度服务网络设计，考虑到相互关联的决策层、拥堵、排放、收入管理和不确定性；2)城市物流为城市TL的管理提出新的组织和商业模式，以在可持续城市发展的背景下减少拥堵、排放和化石燃料消耗；3)新的协作城际TL机制，以充分利用可用容量，为利益相关者增值，并减少TL的负面影响；4)城市(柔性公交和城市物流)和城际(卡车编队)环境下的自主车队运营；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)具有多个决策层和同步的多属性时间相关车辆路径和位置-路径问题。该研究计划旨在对科学知识作出重大贡献，并通过技术转让提高加拿大TL系统的效率和生产率。结果将通过演示文稿、技术报告和被引用期刊上的论文广泛和公开地传播。我们解决了主要的运筹学问题，并期望我们的结果不仅可以改变最新的技术水平和解决问题的方式，而且还可以在网络设计、路由、随机程序的方法、元启发式和并行计算方面开辟新的研究视角。我们研究TL的核心问题，并正在制定城市物流系统规划的标准。我们希望与当局一起应对加拿大城市面临的这些挑战，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和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.