中文摘要：

不同种类的物品在供应链中的移动形成不同的物品工作流,通过对这些物品工作流的挖掘,能够发现不同种类物品的流向和主要流转路径等信息,进而基于这些信息对供应链过程进行管理和优化.本文提出了一种基于RFID数据集的物品工作流挖掘方法,其中定义了一种基于Petri网的物品工作流网,讨论了物品工作流网所支持的几种物品工作流模式,给出了基于RFID数据集的数据过滤和聚合算法,以及物品工作流网的挖掘算法,最后进行了必要的实验.

英文摘要：

The movement of different kinds of commodities through the supply chain forms different commodity workflows.The flow trends and main paths of different commodities can be discovered by commodity workflow mining,and thus facilitate the management and optimizing of supply chain processes.On the basis of RFID data sets,an approach to mine commodity workflow is proposed.A Petri net based commodity workflow net is defined,some workflow patterns supported by the commodity workflow net are discussed, a cleaning algorithm and an aggregating algorithm based on RFID data sets are provided, and the mining algorithms of the commodity workflow net are presented. Finally, some essential experiments are conducted.