Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/INCoS.2013.146 | Intelligent Networking and Collaborative Systems |
Keywords | Field | DocType |
existing available resource,rfid tracking,supply chain entity,supply chain management,optimize flow network,supply chain,heterogeneous network,real time process modeling,key enabling technology,inference engine,supply chains,electronic commerce,knowledge based systems | Rule-based system,Computer science,Process modeling,Knowledge-based systems,Supply chain management,Supply chain,Inference engine,Heterogeneous network,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Moynihan | 1 | 10 | 2.45 |
| Wei Dai | 2 | 43 | 15.54 |