Abstract
As a new manufacturing pattern, cloud manufacturing (CMfg) offers distributed and diverse manufacturing resources as cloud manufacturing services (CMSs) to satisfy varying manufacturing demands. To respond to the changing market and provide high-quality services, the manufacturing resources configuration method has become a decisive process. In this chapter, an overall architecture of cloud computing–based manufacturing resources configuration is proposed to realize the full sharing, high collaboration, and flexible configuration of manufacturing resources. Under this architecture, a cloud machine model is built considering both the static and dynamic manufacturing information, and then published into the CMfg platform. The task-driven service proactive discovery mechanism promotes the providers’ initiative. Consequently, the efficiency of service discovery is highly enhanced. Through the designed grey relational analysis (GRA)-based evaluation method, the service optimal selection and composition are performed.
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