有限产能下多部件设备视情维修策略与多订单批量生产联合优化研究

针对有限产能下,面对多个不同要求订单时的订单选取和多部件设备维护决策问题,提出了基于客户满意度的多部件设备视情维修策略和多订单批量生产的联合优化模型。首先,基于比例风险模型描述出各部件的具体劣化趋势,并以虚拟年龄表示各部件的健康状态;其次,根据单次批量生产结束后的实时监测结果和维修阈值,确定不同的维修方式;再次,以利润最大化为优化目标,结合有限产能批量问题模型和客户满意度模型,建立视情维修策略和多订单批量生产联合优化模型;最后,利用模拟退火算法和粒子群算法就行模型求解,并通过算例验证了模型的有效性,使模型更具有现实意义,并对模型相应参数进行了灵敏度分析。

Joint optimization of multi-component equipment maintenance strategy and multi-order batch production under limited capacity

Aiming at the problem of order selections and multi-component equipment maintenance decisions under limited capacity when facing multiple orders with different requirements,the paper proposed a joint optimization model based on the customer satisfaction.Firstly,the method used the proportional risk model to describe the specific deterioration trend of each component and the virtual age to represent the health status of each component.Next,the paper determined the different maintenance methods based on the real-time monitoring results and maintenance threshold.Then,with profit maximization as the optimization goal,combined with limited capacity batch problem model and customer satisfaction model,the paper established the maintenance strategy based on the situation and the multi-order batch production joint optimization model.Finally,the paper used the simulated annealing algorithm and particle swarm optimization algorithm to solve the model,an example verifies the validity of the model in order to let the model have more practical significance,and carried out the sensitivity analysis of the corresponding parameters of the model.