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区域运输集中管理决策支持系统研究与开发

Research and development of regional freight traffic centralized management decision support system

  • 摘要: 区域货物运输集中管理的决策支持系统在实现货物运输组织全流程数据的集中管理和共享的基础上,基于算法模型实现装车站空车配送需求、可用空车资源、货物预装车方案、技术站列车编组方案等自动推算工具;面向各层级用户提供综合信息查询,支持区域内和局站间班/阶段计划协同编制,以提高运输组织效率;统筹区域内货运需求和运力资源,实现局管内快速精准调配空车至装车站、重车合理均衡输送至卸车站;辅助技术站实现高质量列车编组,支持中间站分方向、按分界口成组装车方案及优化列车开行方案,达到技术站服务中间站、中间站反哺技术站的目标;支持基于量化指标的绩效考核,实现区域内运输组织闭环管理。自2023在济南局推广使用,在提高作业效率、作业安全和货物运输组织水平的同时,有助于缩短交货时间、降低物流成本、提升客户满意度。

     

    Abstract: Based on centralized data management and sharing of freight traffic organization, regional freight traffic centralized management decision support system realizes automatic calculation tools such as empty car delivery demand at loading station, available empty cars, cargo pre-loading plan and train formation plan at technical station based on algorithms. The system provide comprehensive information query for users at all levels, support collaborative preparation of intra-regional and bureau-station shift/stage plans, and improve overall efficiency of regional freight traffic organization. Through pooling regional freight traffic demand and transportation capacity as a whole, it realize rapid and accurate delivery of empty cars to loading stations and reasonable and balanced delivery of loaded cars to unloading stations. It can assist technical station dispatchers to prepare high quality train formation plan, geprovide intermediate station car loading plan according direction and boundary station and optimize intermediate station train operation plan, so as to achieve the goal of mutual-serving of technical station and intermediate station. It also support performance appraisal based on quantitative indicators to achieve closed-loop management of freight traffic organizations in the region. It has been used in Jinan Railway Bureau since 2023, which can help shorten delivery time, reduce logistics costs and improve customer satisfaction while improving operation efficiency, operation safety and freight traffic organization.

     

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