A Data Analysis Method for RFID Supply Chain Based on Time Series

FONT face; Verdana; GAO Xin; ZHAO Wen; YE Wei; ZHANG Shi-kun; WANG Li-fu; FONT

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A Data Analysis Method for RFID Supply Chain Based on Time Series

更新时间：2025-07-16

- A Data Analysis Method for RFID Supply Chain Based on Time Series
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 26-32(2010)
- 作者机构：
  
  1. 1.北京大学信息科学技术学院,北京,100871
  2. 北京大学软件工程国家工程研究中心,北京,100871
  3. [JZ]3.北京大学信息科学技术学院软件研究所高可信软件技术教育部重点实验室,北京,100871
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP331
- Published：2010
- 稿件说明：
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FONT face, Verdana, GAO Xin, et al. A Data Analysis Method for RFID Supply Chain Based on Time Series[J]. Acta Electronica Sinica, 2010, 38(2A): 26-32.
DOI：

FONT face, Verdana, GAO Xin, et al. A Data Analysis Method for RFID Supply Chain Based on Time Series[J]. Acta Electronica Sinica, 2010, 38(2A): 26-32. DOI：

摘要

<FONT face=Verdana>通过挖掘海量RFID(Radio Frequency Identification)数据来优化供应链已经成为一个研究热点.本文针对供应链流通中出现的若干周转异常并且难以发现的问题，提出了一种基于时间序列的RFID供应链数据分析方法.将供应链的RFID数据统一成反映各环节周转状况的时间序列格式，然后通过分段趋势分解方法分解提取的时间序列数据，并根据分解后的随机项建立阈值来判断数据是否异常，从而建立相应的时间序列分析模型；最后基于模型检测数据异常.通过多样本和多数据集的实验检测，结果表明这种方法有效并具有较高的效率.

Abstract

<FONT face=Verdana>To optimize Supply Chain system by mining mass RFID (Radio Frequency Identification) data has been an important research area.In this paper

we provide a data analysis method for RFID supply chain based on time series for the exceptions like non-effective transportation and so on

which are hard to be detected in the circulation of supply chain.This method first turns RFID data in each transportation phase or storage phase into the unified form of time series which can reflect the circulation situation of each phase;then carries time series analyze on the RFID data by the method of subsection tendency analyze

builds the threshold by the random items and builds the corresponding time series analysis model;at last checks the RFID data if they are abnormal based on these models.Through multisample and multi-dataset experiment

the result shows that our method is effective and efficient.

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