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A decision support system for public logistics information service management and optimization

机译：公共物流信息服务管理与优化决策支持系统

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摘要

Transportation optimization usually aims at minimizing the empty load ratios (ELRs) of vehicles. Most Chinese vehicles for logistics are owned by individual entrepreneurs. Because China is very large, transport distances are typically long, and thus the ELR is very high. The ELR is the primary reason for high transport costs, considerable pollution, and high energy consumption. Many Chinese local governments try to build public transport information services that decrease the ELR. This work proposes a decision support system (DSS) for public logistics information service management and optimization (PUSMO) for vehicle drivers and owners, logistics customers and related logistics service providers and management institutes. The dynamic and real-time matching model between goods and vehicles, and the enabling technologies are important issues for the DSS for PLISMO. Therefore, intelligent positioning technologies are employed to acquire and manage the vehicle status. A model matching vehicles with goods is developed based on an assessment model of transport capability and service priority criteria. A multi-objective real-time scheduling model is devised to minimize the ELR. Based on the concepts and decision-making models for PUSMO, a DSS is created and the architecture of the system is investigated. The effectiveness of the DSS and decision-making models is demonstrated by a case of finished vehicle logistics (FVL). Analytical results show that the proposed DSS can reduce the ELR and logistics cost. This system helps governments construct DSSs for general PLISMO.
机译：运输优化通常旨在最小化车辆的空载率（ELR）。大多数中国物流工具是个体企业家拥有的。因为中国很大，所以运输距离通常很长，因此ELR非常高。 ELR是运输成本高，污染大，能耗高的主要原因。许多中国地方政府试图建立减少ELR的公共交通信息服务。这项工作提出了一个决策支持系统（DSS），用于公共物流信息服务的管理和优化（PUSMO），用于车辆驾驶员和车主，物流客户以及相关的物流服务提供商和管理机构。货物和车辆之间的动态实时匹配模型以及支持技术是PLISMO DSS的重要问题。因此，采用智能定位技术来获取和管理车辆状态。基于运输能力和服务优先级标准的评估模型，开发了将车辆与货物匹配的模型。设计了一种多目标实时调度模型以最小化ELR。基于PUSMO的概念和决策模型，创建了DSS，并研究了系统的体系结构。 DSS和决策模型的有效性通过整车物流（FVL）的案例得到证明。分析结果表明，提出的DSS可以降低ELR和物流成本。该系统可帮助政府为一般PLISMO构建DSS。

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