The EPCIS specification allows for sharing item-level event data between business partners in a standardized way. As EPCIS event data represents measured points of actual business processes, business intelligence methods can be applied in order to detect inefficiencies (such as shipment delays, inventory shrinkage or out-of-stock) in supply chains. In order to deal with the overwhelming number of single events that are generated during operations, we propose a mix of automated analysis techniques and human effort. The Supply Chain visualizer analyzes EPCIS event data with generic consistency rules and overlays the detected supply chain structure and potential problem areas on a map-based user interface. In this paper we describe the architecture of the tool and propose the concept of EPCIS based consistency rules and performance metrics.
The 3rd International Conference on the Internet of Things (IoT2012) will include a highly selective dual-track program for technical papers, accompanied by reports on business projects from seasoned ...
Mark Weiser first proposed Pervasive Computing two decades ago and we've explored the space of his ideas in that time. It's time to explore new wild and crazy -- "hot" -- ideas! The goal of PerHot is ...
As part of their research for GS1, members of the Auto-ID Labs research network have presented a recent update at GS1's Industry and Standards Event in Brooklyn, March 2011.
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