关键词: 云制造, 虚拟资源池, 虚拟单元, 粒子群优化算法, 建模

Abstract: To realize full sharing, exploration and matching of manufacturing resource and to provide optimal cloud service under cloud manufacturing, technologies of resource modeling and clustering were introduced into the stage of virtual resource pool construction and a framework concerning virtual resource modeling and optimization method was proposed. A bilayer model based on XML data and OWL semantic was employed to describe virtual resource modeling and digitalization of cloud pool. Based on cost, efficiency, quality and credit of service, a mathematical multi-objective optimization model was constructed. The particle swarm optimization algorithm was used to solve the optimization problem, and a Pareto optimal solution was obtained to form instantiated virtual manufacturing cell. An instance from manufacturing practice was used to demonstrate that the proposed framework could improve the sharing, exploration and matching performance of cloud pool's virtual resource efficiently. Its validity in engineering application was also verified.

Key words: cloud manufacturing, virtual resource pool, virtual cell, particle swarm optimization algorithm, modeling