Research On Machining Service Construction, Searching, And Composition In SMEs In Cloud Manufacturing Environment

Small and medium enterprise(SMEs) is an important part of market economy in China. In the increasingly fierce market competition, its shortcoming in R&D level, management ability and cooperative ability, greatly restricting its further development and growth. Under this situation, a new manufacturing mode called Cloud manufacturing is emerged as the times require. Cloud manufacturing is a new pattern of knowledge-based, service-oriented and web-based manufacturing, Which with the help of network and cloud-manufacturing-platform, package various types of manufacturing resources, capabilities and knowledge into service to achieve resource sharing and collaborative manufacturing. Before we applying cloud manufacturing into the SMEs, Two basic issues of cloud manufacturing needed to be solved including how to encapsulate the manufacturing resources as service which could be described in a unified mode and how to find,match and organize services. This thesis takes the process of service encapsulating as a study object, and the main results are as follows:a. A construction method of service template is built based on object-oriented ideology. Considering the characteristics and classification of machining resources in SMEs, it promotes reusability of service template and makes it easier for machining resources to realize service encapsulation. And then based on it a template-based service encapsulation way is put forward. Meanwhile, semantic Ontology Web Language for Service(OWL-S) is used to formally describe cloud machining service.b. In terms of service discovery problems, a service matching model with multi-granularity and multi-level is established. Furthermore, a clustering algorithm for similar service is also proposed based on graphical clustering, which achieves the synergy of similar inter-services. Besides, with regard to the frequent service request, a demand-driven optimal clustering algorithm for relevant services is raised by identifying the characteristics of service request. Therefore, this kind of method of synergy of relevant services provides better service for frequent service request.c. An experiment primarily demonstrates the service encapsulation process of machining resources, which confirms the feasibility of the proposed methods. At the same time, the proposed core algorithms have the validity and advantages which is proved by designing contrastive experiments.These achievement of this paper provides practical theories for the building of cloud manufacturing platform. And gives new ideas for the servitization of manufacturing resources and the methods of search and intelligent organization of the cloud manufacturing services.