1.5 Billion Events a week - a statistical assessment for smart transport items in German FMCG supply chains

Philipp Wrycza, Alexander Hille, Bjoern Anderseck
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引用次数: 2

Abstract

This paper is based on the research project smaRTI which is an acronym for smart reusable transport items. The project started in July 2010 and ended December 2013. One of the core ideas of the project is to use smart reusable transport items with automatic identification technology such as barcode or RFID in order to generate events, at different capture points in the supply chain of the companies. An example for a typical event, based on the GS1 EPCIS standard, would be "shipping" after an order has been dispatched. The events are uploaded in a cloud based data storage, where all of the project partners are able to monitor them in real time. This paper explains how to gross up data volume caused by around 600 relevant transport items in 34 weeks of the pilot to the fast moving consumer goods (short: FMCG) industry in Germany. It describes the strategy and the used statistical methods for the extrapolation and explains the results.
每周15亿次事件——德国快速消费品供应链中智能运输项目的统计评估
本文基于smaRTI研究项目,smaRTI是智能可重复使用运输物品的缩写。该项目于2010年7月开工,2013年12月结束。该项目的核心理念之一是使用具有自动识别技术(如条形码或RFID)的智能可重复使用运输物品,以便在公司供应链的不同捕获点生成事件。基于GS1 EPCIS标准的一个典型事件示例是在订单发出后的“发货”。事件上传到基于云的数据存储中,所有项目合作伙伴都能够实时监控它们。本文阐述了如何将试点34周内约600个相关运输项目对德国快速消费品(简称:FMCG)行业产生的数据量进行汇总。它描述了外推的策略和使用的统计方法,并解释了结果。
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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