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.
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