考虑质量损失的串联生产系统生产维护与控制图联合优化

Joint Optimization of Production Maintenance and Control Chart for Serial Production System Considering Quality Losses

摘要:

针对多设备串联生产系统中设备随机劣化引发的产品质量问题，综合考虑不完美维护对设备劣化和生产过程的影响，制定双控制限产品质量控制图和动态生产计划，提出一种以实时获得的产品质量数据为依据的生产与设备维护联合策略。通过优化控制图参数和生产调控指标，构建以总成本最小化为目标的生产与维护联合优化模型，采用结合蒙特卡洛仿真方法的改进灰狼优化算法进行求解。通过基本算例与大规模算例对比三类传统维护策略，验证了基于实时质量数据的控制图维护与生产联合策略在解决该类问题中的有效性。

Abstract:

To address quality issues caused by random equipment degradation in multi-machine serial production systems， this paper considers the effects of imperfect maintenance on equipment deterioration and production processes. A double-control-limit quality control chart and dynamic production plans are formulated， and a joint production-maintenance strategy based on real-time quality data is proposed. By optimizing control chart parameters and production regulation indicators， a joint optimization model for production and maintenance is developed with the goal of minimizing total cost. An improved grey wolf optimization algorithm combined with Monte Carlo simulation is designed to solve the model. Comparisons with three types of traditional maintenance strategies in both basic and large-scale scenarios verify the effectiveness of the real-time quality data-driven joint control chart maintenance and production strategy.