Task Decomposition Based on Cloud Manufacturing Platform

As a new service-oriented manufacturing paradigm, cloud (CMfg) realizes the optimal allocation of resources in product process through network. Task decomposition is key problem CMfg system for resource scheduling. A high-quality task method can shorten development time, reduce costs service providers, and provide technical support application CMfg. However, has to manage correct amount resources, complex production processes, highly dynamic environments. At same tasks issued by demanders are usually asymmetric tightly coupled. We solve using traditional methods, that hard complete To overcome shortcomings CMfg, this paper proposed based on platform. For achieving modular production, approach creatively divides into four stages: design, manufacturing, transportation, maintenance. Then hybrid method, which combines with depth-first search algorithm, fast optimization artificial bee colony introduced. The obtain multi-stage plan Simulation results demonstrate achieve environment.