Research of RFID Data mining based on supply chain management

C. Lei, Tian Zhiyong
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Abstract

Commodities pass through the supply chain according to a certain direction, so the workflow model can be built to describe storage position, hauling track and direction of commodities. RFID Data mining includes a cleaning algorithm, an aggregation algorithm and a mining algorithm to obtain the flow direction and residence time of commodities for supply chain optimization and decision-making support. Finally, the computer simulation experiments are conducted to verify the effectiveness of the algorithms.
基于供应链管理的RFID数据挖掘研究
商品按照一定的方向在供应链中传递,因此可以建立工作流模型来描述商品的存储位置、运输轨迹和方向。RFID数据挖掘包括清洗算法、聚合算法和挖掘算法,以获得商品的流向和停留时间,为供应链优化和决策提供支持。最后,通过计算机仿真实验验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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