LAUSR

Cloud manufacturing (CMfg) platform consists of the cloud services, manufacturing technology, and the Internet of Things, which provides solutions for large-scale personalized customization through the service model. However, the service flexibility and resource allocation of CMfg are two factors that restrict the production time and cost of CMfg. A CMfg service model based on rewritable Petri nets (RPNs) is established, where the reconfiguration process of personalized customization is described by the rewritable rules of RPN. On this basis, the performance of the reconfiguration of the personalized customization service process is analyzed (this model analysis method can analyze the soundness of the reconfiguration process). In addition, we establish the resource allocation strategy of CMfg based on nondominated sorting genetic algorithm to obtain the best personalized customization scheme in terms of time and cost. The results of simulation and comparison experiments show that the method proposed in this article can obtain the optimal solution for both production time and cost.