• 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