首页> 外文会议>International Conference on Logistics Operations Management >Near real-time big data analytics for NFC-enabled logistics trajectories
【24h】

Near real-time big data analytics for NFC-enabled logistics trajectories

机译:支持NFC的物流轨迹的实时大数据分析

获取原文

摘要

Big Data refers to a data set which collects large and complex data that is hard to process using traditional applications. With the increasing usage of RFID technology and location based services, logistics warehouse control is facing Big Data. Volume Information generated by each product can be huge as it moves through different locations. Focused on traceability, the system proposed in this paper allows through different modules to follow movement of products, manage inventories and optimize stock bearings for materials destined for the production and / or distribution. In fact, the proposed system collect products locations using RFID technologies, models and warehouse products trajectories to support the logistics management and decision-makings such as logistics planning and scheduling of a warehouse.
机译:大数据是指使用传统应用程序难以处理的大型和复杂数据的数据集。随着RFID技术的使用率越来越多,物流仓库控制面临着大数据。每个产品生成的卷信息可能是巨大的,因为它通过不同的位置移动。专注于可追溯性,本文提出的系统允许通过不同的模块追随产品的移动,管理库存和优化用于生产和/或分布的材料的库存轴承。事实上,建议的系统使用RFID技术,模型和仓库产品轨迹收集产品位置,以支持物流管理和决策,如物流规划和仓库的安排。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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