打印参数可变模式下3D打印批调度问题研究

研究打印参数可变模式下3D打印批调度问题,旨在对打印任务随机到达的3D打印服务系统进行优化建模.考虑到工作台尺寸的限制以及打印参数层高对打印质量的影响,论文以各个任务队列长度作为系统联合状态,以任务组合以及打印参数层高作为系统的联合控制变量,以提高生产率、减少打印质量损失、节约电能为综合目标,将优化问题描述为半马尔科夫决策过程(SMDP),以便采用策略迭代算法、Q学习等算法求解系统最优调度策略.仿真结果表明,与层高参数固定模式以及先到先服务(FCFS)模式相比,本文求解的批调度策略能够有效提高生产性能.

Batch scheduling of 3D printing with variable printing parameter

Batch scheduling problem of 3D printing in the mode of variable printing parameter is studied. It aims tooptimize and model on 3D printing service system with random arrival of printing tasks. First, the limitation of the sizeof the worktable and the influence of the layer of the printing parameters on the printing quality is considered. Then thelengths of all task queues are taken as the joint state of the system, and the combination of tasks and the layer of the printingparameters is taken as the joint control variable of the system. The aim is to increase productivity, reduce the loss of printingquality and save energy. Furthermore, the optimization problem is described as a semi-Markov decision process (SMDP),in order to solve the optimal scheduling strategy by using the strategy iteration algorithm and Q learning algorithm Thesimulation results show that the proposed batch scheduling strategy can effectively improve the production performancecompared with the fixed layer height model and the first come first service (FCFS) model.