Online order scheduling of multi 3D printing tasks based on the additive manufacturing cloud platform

Cloud-based additive manufacturing is one of the important forms of cloud manufacturing service platform, which can match manufacturing resources for multi-task requirements to further improve the utilization of idle resources and achieve cost reductions. This paper proposes a more realistic scenario of online scheduling rather than offline scheduling, in which tasks arrive randomly. According to the scenario, a mixed integer linear pro-gramming model of multi 3D printing tasks based on the additive manufacturing cloud platform is constructed, with the goal of minimizing the average cost per volume of material. A heuristic strategy is proposed to solve the problem, and different scale instances are tested to compare the performance. Simulation shows that the pro-posed algorithm can effectively solve the 3D printing online scheduling problem.

Automated summary

This paper studies cloud-based additive manufacturing, proposes a realistic online scheduling scenario, and constructs a mixed integer linear programming model to solve the 3D printing online scheduling problem. Simulation results show that the proposed algorithm can effectively solve this problem.