Capacitated multi-modal network flow models for minimizing total operational cost and CO2e emission
Capacitated multi-modal network flow models for minimizing total operational cost and CO2e emission
复制标题
容量多模式网络流量模型可最大限度地降低总运营成本和二氧化碳当量排放
DOI：
10.1016/j.cie.2018.09.049
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发表时间：
2018
影响因子：
7.9
通讯作者：
Zhou Ming
中科院分区：
文献类型：
--
作者：
Zhou Meirong;Duan Yanting;Yang Wen;Pan Yanchun;Zhou Ming
绿色物流和运输对复杂物流网络的配送规划和流程优化提出了新的要求。例如，道路上的二氧化碳当量 (CO2e) 排放量取决于沿路选择的运输方式和车辆类型。转运城市的货物处理成本还取决于从该城市入境到出境的运输方式和车辆类型的变化。与传统网络结构相比，多模态网络具有多属性链路和依赖转运节点（在最小化总成本和排放方面）的特点，这显着增加了问题的复杂性。本研究试图解决此类系统建模和分析的关键问题。开发分析模型是为了明确地描述问题结构/特征，并在单目标和多目标层面整合决策。基于真实的运输物流网络设计了一组实验，以验证和验证模型的功能，分析参数的敏感性，并评估解决方案的收敛行为。结果表明，虽然该问题是 NP 难题，但对于实际规模的问题，可以通过适当的分析模型有效地导出解决方案。
Green logistics and transportation impose new requirements on distribution planning and flow optimization over complex logistics network. Carbon-dioxide equivalent (CO2e) emission on a road, for instance, depends on the transportation mode and vehicle type selected along the road. The handling cost of a load at a transshipment city also depends on the change of transportation mode and vehicle type from inbound to outbound at the city. Compared with traditional network structure, multi-modal network is characterized by multi-attributes link and dependent transshipment node (in terms of minimizing total cost and emission), which significantly increases problem complexity. This study attempts to address key issues in modeling and analysis of such systems. Analytical models are developed to characterize the problem structure/features explicitly and integrate decisions at single- and multi-objective levels. A set of experiments, designed based on real transportation logistics network, are carried out to verify and validate models’ functions, analyze sensitivity of parameters, and evaluate solution convergence behavior. The results indicated that while the problem isNP-hard, solutions via proper analytical models can be derived efficiently for problems of practical scale.