首页> 外国专利> SYSTEM FOR REPOSITIONING OPTIMIZATION OF EMPTY CONTAINER IN SHIP NETWORK BASED ARTIFICIAL INTELLIGENCE PLANNING TECHNOLOGY AND METHOD THEREFOR

SYSTEM FOR REPOSITIONING OPTIMIZATION OF EMPTY CONTAINER IN SHIP NETWORK BASED ARTIFICIAL INTELLIGENCE PLANNING TECHNOLOGY AND METHOD THEREFOR

机译:基于船舶网络的人工智能规划技术和方法重新定位优化的系统

摘要

The present invention relates to a system for optimizing the relocation of empty containers of shipping networks based on artificial intelligence planning technology. Based on EDI files and services (service: routes operated by shipping companies) and schedules input from the input data processing unit, In order to optimize the routes and schedules of full and empty containers to minimize transportation period and transportation costs, Port, Container Terminal, Depot, Shipper’s Logistics Storage (Door), Having the Consignor as a basic object, considering the shipping network, inland port, container terminal, empty container storage, and the inland transportation network between the shipper's door, multi-container In transporting , it includes an ECR multi-constraint concurrent processing unit that processes various constraints as logical expressions, and the ECR multi-constraint concurrent processing unit is an objective function ( objective function), and by applying all monetary costs and transportation time, such as the cost of transporting a container on the ground, transporting it by sea, unloading/loading to the terminal, and storage in the terminal, according to weights. , characterized in that the objective function is minimized. According to this configuration, it is possible to enjoy the cost reduction effect by optimizing the empty container relocation plan.
机译:本发明涉及一种用于优化基于人工智能规划技术的空运集装箱迁移的系统。基于EDI文件和服务(服务:运输公司操作的路由)和从输入数据处理单元输入的时间表,以优化完整和空集装箱的路线和计划,以最大限度地减少运输期和运输成本,端口,集装箱终端,托盘,托盘的物流存储(门),将发货人作为基本对象,考虑运输网络,内陆港口,集装箱码头,空集装箱存储和托运人门之间的内陆运输网络,多容器在运输中运输包括将各种约束作为逻辑表达方式处理各种约束的ECR多约束并发处理单元,并且ECR多约束并发处理单元是目标函数(客观函数),并且通过应用所有货币成本和运输时间,例如成本将容器运输在地面上,通过海上运输,卸载/装载到终端,并在TE中储存rminal,根据重量。 ,其特征在于,目标函数最小化。根据这种配置,可以通过优化空容器重定位计划来享受成本效应。

著录项

  • 公开/公告号KR20210083661A

    专利类型

  • 公开/公告日2021-07-07

    原文格式PDF

  • 申请/专利权人 소프트온넷(주);

    申请/专利号KR20190176168

  • 发明设计人 송동호;신지애;박재한;

    申请日2019-12-27

  • 分类号G06Q10/08;G06Q10/04;G06Q10/06;G06Q10/10;G06Q50/28;

  • 国家 KR

  • 入库时间 2022-08-24 20:05:51

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号