Abstract
The problem of task allocation and service selection in the complex dynamic cloud manufacturing (CMfg) environment is complex for different types of manufacturing resources. With the rapid development of 3D printing technology, the supply-demand matching problem of 3D printing tasks and services in CMfg needs to be modelled specifically. In this paper, the service attributes of 3D printing services are analyzed, including model size, printing material, printing preciseness, cost, time and logistics. The service transaction model of 3D printing services is built. To reduce delivery time of tasks from service suppliers to service demanders, a 3D printing service matching and selection method (MST) is proposed to generate the optimal solutions. Experimental results show that the average task completion time with MST is less than that of the typical method when the amounts of tasks change. Besides, MST can balance the task assignment among different service providers.
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