带有车队和排放管理的服务网络设计问题

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Christian Truden , Mike Hewitt
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引用次数: 0

摘要

我们提出了带有车队和排放管理的服务网络设计问题(SND-FEM)。该问题考虑了车队管理决策,即承运商应购置多少辆不同类型的车辆(柴油、电动、氢气),以及这些车辆应在哪些地区运营。这些车队层面的决策对客户服务的影响是通过明确的货运和车辆路线建模来体现的,同时还要考虑到有限的车载资源(柴油、电能、氢气)的消耗。因此,该问题还规定了资源补充决策,并明确认识到与资源补充相关的排放和成本可能因地区而异。根据全球物流排放委员会提出的框架(该方法已成为行业标准),通过详细计算 "从井到车轮"(WtW)的排放量,可以捕捉到问题决策对环境的影响。我们提出了问题的混合整数编程(MIP)公式,并考虑了两个目标:(i) 运输成本和 (ii) WtW 排放量。通过基于从政府和行业来源精心收集的数据的案例研究,我们阐述了在重型卡车车队中采用新型动力传动系统技术以降低成本和基于排放的车队性能指标的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The service network design problem with fleet and emissions management

We propose the Service Network Design Problem with Fleet and Emissions Management (SND-FEM). This problem considers fleet management decisions regarding how many vehicles of each type (diesel, electric, hydrogen) a carrier should acquire as well as in what regions they should operate. The impact of these fleet-level decisions on customer service is captured by explicitly modeling the routing of shipments and vehicles while recognizing the consumption of limited onboard resources (diesel fuel, electrical energy, hydrogen). Thus, the problem also prescribes resource replenishment decisions, with an explicit recognition that the emissions and costs associated with resource replenishment can vary by region. The environmental impact of problem decisions is captured with a detailed accounting of Well-to-Wheel (WtW) emissions based on the framework proposed by the Global Logistics Emissions Council, a methodology that has become the industry standard. We propose a Mixed Integer Programming (MIP) formulation of the problem and consider two objectives: (i) transportation cost, and (ii) WtW emissions. With a case study based on carefully collected data from government and industry sources, we elaborate the potential of including novel power-train technologies in heavy-duty truck fleets to reduce both cost and emissions-based fleet performance measures.

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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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