多资源约束下串并联生产系统的多目标动态维护

兰州理工大学学报 ›› 2021, Vol. 47 ›› Issue (2): 26-31.

多资源约束下串并联生产系统的多目标动态维护

李有堂^*, 黄兆坤

兰州理工大学机电工程学院, 甘肃兰州 730050

收稿日期:2019-12-24 出版日期:2021-04-28 发布日期:2021-05-11
通讯作者: 李有堂(1963-),男,甘肃定西人,博士,教授,博导.Email:liyt@lut.edu.cn
基金资助:
国家自然科学基金(71461018)

Multi-objective maintenance for series-parallel production systems with multiple resource constraints

LI You-tang, HUANG Zhao-kun

College of Mechano-Electronic Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China

Received:2019-12-24 Online:2021-04-28 Published:2021-05-11

摘要/Abstract

摘要： 针对多资源约束下的串并联生产系统,在多资源约束条件下考虑系统的可用性,以各工序资源需求优先级为标准,建立了一种多目标动态维护模型.引入权重因子,通过采用可靠度恢复因子描述各工序设备维护前后可靠度的变化过程,建立以维护成本和系统可用度为优化目标的维护策略.通过仿真抽样求解出系统在给定区间内的预防性维护与机会维护阈值.结果表明,该维护策略能保证多资源约束下的串并联生产系统维护成本和系统可用度最优.

关键词: 多资源约束, 串并联生产系统, 多目标, 系统可用性, 动态维护

Abstract: Aiming at the series-parallel production system with multi-resource constraint, a multi-objective dynamic maintenance model is established by considering the availability of the system under multi-resource constraint and taking the priority of each process resource requirement as the standard. By introducing the weight factor and using the reliability recovery factor to describe the reliability change process before and after the maintenance of each process equipment, a maintenance strategy with the maintenance cost and system availability as the optimization objective was established. The preventive maintenance and opportunity maintenance thresholds of the system in a given interval are solved by simulation sampling. The results show that the maintenance strategy can guarantee the maintenance cost and system availability of the complex degraded production system under multi-resource constraints.

Key words: muliple resources constrained, series-parallel production system, multiple target, system availability, dynamic maintenance

中图分类号:

TH17

李有堂, 黄兆坤. 多资源约束下串并联生产系统的多目标动态维护[J]. 兰州理工大学学报, 2021, 47(2): 26-31.

LI You-tang, HUANG Zhao-kun. Multi-objective maintenance for series-parallel production systems with multiple resource constraints[J]. Journal of Lanzhou University of Technology, 2021, 47(2): 26-31.

参考文献

[1] YANG Li,YE Zhisheng,LEE C G.A two-phase preventive maintenance policy considering imperfect repair and postponed replacement[J].European Journal of Operational Research,2019,274(3):966-977.
[2] REZAEI M M,SIADAT A,DANTAN J Y.An approximation approach for an integrated part quality insp ection and preventive maintenance planning in a nonlinear deteriorating serial multi-stage manufacturing system[J].I-FAC Papers on Line,2018,51(11):270-275.
[3] LU Biao,ZHOU Xiaojun.Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration[J].Reliability Engineering and System Safety,2017,168:116-127.
[4] CHALABI N,DAHANE M,BELDJILALI B.Optimisation of preventive maintenance grouping strategy for multi-component series systems:Particle swarm based approach[J].Computers &Industrial Engineering,2016,102:440-451.
[5] 周炳海,林松.基于批量生产模式的混联系统双导向机会维护建模[J].哈尔滨工程大学学报,2018,39(8):1382-1388.
[6] 刘繁茂,朱海平,邵新宇.一种基于马尔可夫链的多设备串并联系统视情机会维修策略[J].中国机械工程,2009,20(7):851-855.
[7] JOEL I,KAZEM A,IKE A.A systems approach towards reliability centred maintenance of wind turbines[J].Procedia Computer Science,2013,16(1):814-823.
[8] DERIGENT W,THOMAS E,LEVRAT E.Opportunistic maintenance based on fuzzy modelling of component proximity[J].CIRP Annals Manufacturing Technology,2009,58:29-32.
[9] 张小杰,陶辛阳,夏唐斌.基于约束理论的串联型港口装卸系统多机机会维护方法[J].工业工程与管理,2017,22(5):54-58.
[10] 张晓文,孙小明,蒋祖华.考虑生产线平衡的串/并联生产系统机会维护策略[J].上海交通大学学报,2015,49(5):702-707,713.
[11] 张晓文,蒋祖华,胡家文.基于约束理论的多阶瓶颈串/并联系统的机会维护[J].哈尔滨工程大学学报,2016,37(9):1275-1280.
[12] 李有堂,李晶,黄兆坤.多资源约束下串/并联生产系统的机会维护策略[J].兰州理工大学学报,2019,45(5):33-38.
[13] 夏唐斌,奚立峰,周晓军.串并联衰退系统的多目标预防性维护优化建模[J].计算机集成制造系统,2010,16(4):783-788.