Framework for Real-Time Process Modeling of Supply Chains

In this paper, we introduce a real time process modeling framework for supply chains. The superior feature of this framework is that it draws a dynamically packaged process utilizing the existing available resources and supporting activities for supply chain management. The paper presents a top level rule based design that can handle heterogeneous networks and allows integration with key enabling technologies like RFID tracking and leverages the power of an inference engine to manage, monitor and optimize flow networks and supply chain entities. An extension of previous work by the authors, some details of the runtime examples are given and impacts for industries.