ABSTRACT

This paper proposes a maintenance scheduling method for the flexible multistage manufacturing system in multi-specification and small-batch production. The bi-directional interactions between the production and the deterioration of the station, and the uncertainty of the future production demands are mainly involved. The workload of each station changes with the dynamic production schedule, which will have a marked impact on the deterioration of the station. Meanwhile, the deterioration state of the station will in turn influence the selection of the station to complete the production tasks. Based on this interaction, a load integrated deterioration model is established, and then a cost-effective maintenance scheduling model is proposed for the system. Because of the uncertainty of the future production demands, the optimal preventive maintenance scheme for the system is obtained by minimizing the expected total maintenance cost per unit time within the next uncertain production period. To simplify the solving process, a greedy constraint algorithm is developed, with the duration of preventive maintenance being as the constraint. Numerical comparisons show that the expected total maintenance cost under the proposed maintenance scheduling model is always lower than the one under the full load model and the average load model.

摘要

针对多规格、小批量生产的柔性多级制造系统，提出了一种维修调度方法。主要涉及生产与变电站的双向交互作用，以及未来生产需求的不确定性。各站的工作量随着动态生产计划的变化而变化，这将对站的恶化产生显着影响。同时，工位的劣化状态又会影响工位的选择以完成生产任务。在此交互作用的基础上，建立了负荷综合劣化模型，进而为系统提出了具有成本效益的维修调度模型。由于未来生产需求的不确定性，通过在下一个不确定的生产周期内使单位时间内的预期总维护成本最小化，得到系统的最优预防性维护方案。为了简化求解过程，提出了一种贪婪约束算法，以预防性维护的持续时间为约束条件。数值比较表明，所提出的维修调度模型下的预期总维修成本始终低于满负荷模型和平均负荷模型下的预期总维修成本。