衬衫吊挂流水线的自适应动态调度

Adaptive dynamic scheduling of garment hanging production line

针对服装大规模定制中的个性化订单实时到达、订单投产准时性差、瓶颈工位不确定等系列问题,提出了一种服装吊挂流水线的自适应滚动窗口机制解决上述问题。综合考虑了加工顺序、加工设备、人员技能、工序等级等服装生产中的约束条件,建立以最小化完工时间和设备等待时间为目标的多目标动态调度模型,运用工序和设备双层编码结构的非支配遗传算法对模型进行求解;以企业订单数据为基础模拟了21600 s内个性化订单动态到达过程,对模型进行仿真实验。结果表明:自适应动态调度机制能够充分利用生产线设备信息对不同款式的实时订单动态排程;相较于固定周期调度机制在生产效率和设备利用率上有显著提升。

Aiming at the inefficiency of real-time order scheduling and bottleneck elimination in garment mass customization,a dynamic scheduling policy based on adaptive rolling window for garment hanging production line was proposed.A multi-objective dynamic scheduling model with the constrained conditions of processing sequence,equipment,personal skill,and process level was established to minimize the completion time and equipment waiting time,and a non-dominated genetic algorithm based on double-layer coding process and equipment was used to for claculation.The dynamic arrival process of personalized order in 21600 s was taken as an example for simulation based on real enterprise order data.The result shows that dynamic scheduling strategy based on adaptive rolling window making use of the machine information has better performance in real-time order scheduling for different process requirements than the scheduling policy of the constant cycle.