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

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.