DocumentCode :
654833
Title :
Concurrent Intelligent Integration and Optimisation Engine for Supply Chains Management
Author :
Moynihan, P. ; Wei Dai
Author_Institution :
Sch. of Manage. & Inf. Syst., Victoria Univ., Melbourne, VIC, Australia
fYear :
2013
fDate :
4-6 Sept. 2013
Firstpage :
577
Lastpage :
582
Abstract :
In this paper, we introduce a service framework for supply chain management, this is a top level rule based design, it 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 run-time design are given along with some previous experimental results and impacts for industries. Future work points to further investigation of more heterogeneous services and their interactions within the framework and impact for industry.
Keywords :
inference mechanisms; optimisation; production engineering computing; radiofrequency identification; supply chain management; RFID tracking; concurrent intelligent integration; heterogeneous services; inference engine; optimisation engine; runtime design; service framework; supply chain entities; supply chains management; top level rule based design; Databases; Engines; Optimization; Supply chains; Web services; RFID tracking; heterogeneous network; inference engine; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network-Based Information Systems (NBiS), 2013 16th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-1-4799-2509-4
Type :
conf
DOI :
10.1109/NBiS.2013.96
Filename :
6685464
Link To Document :
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