• DocumentCode
    2759415
  • Title

    ReSF: Resource Selection Framework Based on P2P Network for Remanufacturing Production System

  • Author

    Yang, Gao ; Hong-yu, Zhang ; Hua, Ma

  • Author_Institution
    Bus. Sch., Central South Univ., Changsha, China
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    279
  • Lastpage
    282
  • Abstract
    Information sharing and coordination were an effective approach to reduce the uncertainties of remanufacturing production and improve the accuracy of production planning. Considering the characteristics of the remanufacturing production system, a resource selection framework named ReSF was proposed. It was built on a two-layer P2P information sharing model based on topic cluster, and could achieve a high performance of information query in the dynamic remanufacturing production environment. Encapsulated into web services, all the resource information was published in P2P network, and was described by OWL-S on the basis of semantic web services in ReSF. A computing method of the semantic similarity and an algorithm for web services matching based on it were designed to search the most appropriate one from candidate resources on the semantic level, which made it possible to acquire resource information timely and accurately and to meet maximum interests of the related parties in remanufacturing production. Finally, this framework was discussed and evaluated.
  • Keywords
    peer-to-peer computing; production planning; recycling; OWLS; P2P network; information query; information sharing; production planning; remanufacturing production system; resource selection framework; semantic web services; Costs; Electronic mail; Information technology; Manufacturing systems; Network topology; Production planning; Production systems; Semantic Web; Uncertainty; Web services; P2P network; information sharing; remanufacturing; resource selection; semantic web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-0-7695-3688-0
  • Type

    conf

  • DOI
    10.1109/ITCS.2009.193
  • Filename
    5190234