悬臂式掘进机截齿系统维修与备件库存联合决策  

Joint decision of maintenance and spare parts inventory for boom-type roadheader pick system

作　　者：秦彦凯 张晓红 曾建潮[2,5] 李翔宇 梁好[3] QIN Yankai;ZHANG Xiaohong;ZENG Jianchao;LI Xiangyu;LIANG Hao(School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;Division of Industrial and System Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;Taiyuan Research Institute Co.,Ltd.,China Coal Technology Engineering Group,Taiyuan 030006,China;School of Economics and Management,Taiyuan University of Science and Technology,Taiyuan 030024,China;Institute for Big Data and Visual Computing,North University of China,Taiyuan 030051,China;School of Mechanical and Transportation Engineering,Taiyuan University of Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学机械工程学院,山西太原030024 [2]太原科技大学工业与系统工程研究所,山西太原030024 [3]中国煤炭科工集团太原研究院有限公司,山西太原030006 [4]太原科技大学经济与管理学院,山西太原030024 [5]中北大学大数据与视觉计算研究所,山西太原030051 [6]太原理工大学机械与运载工程学院,山西太原030024

出　　处：《煤炭工程》2023年第7期94-101,共8页Coal Engineering

基　　金：国家自然科学基金项目(72071183);山西省自然科学基金项目(202203021211194);太原科技大学研究生联合培养示范基地(JD2022008);山西省基础研究计划项目(20210302124680)。

摘　　要：为延长悬臂式掘进机截齿系统的使用寿命,降低运维费用,根据截齿系统的维修需求以及随之产生的备件需求,提出了一种基于定期检查的(m,τ,S,s)预防性维修与备件库存联合策略。以费用率最低为目标,考虑可用度约束,建立了截齿系统的维修与备件库存联合决策模型,以决策最优的预防性更换阈值m、检查周期τ、目标库存水平S和备件订购阈值s。基于工程数据,通过遗传算法获得了最优目标以及对应的决策变量,并对模型参数进行敏感性分析,验证了模型的有效性。结果表明,当预防性更换阈值为8把,检查周期为12 d,目标库存水平为75把,备件订购阈值为45把时,可用度为0.87,最低费用率为162.45元/h,截齿系统实现了全局最优的联合决策。因此,将维修与备件库存进行合理的整合优化,可进一步提高截齿系统运行的安全性和经济性。To extend the service life of boom-type roadheader pick system,and reduce the operation and maintenance costs,a(m,τ,S,s)joint policy of preventive maintenance and spare parts inventory based on periodic inspection is proposed according to the maintenance need of the pick system and the resulting spare parts need.With the goal of minimizing the cost rate and considering the availability constraint,a joint decision model of maintenance and spare parts inventory of the pick system is established to determine the optimal preventive replacement threshold,inspection cycle,target inventory level,and spare parts ordering threshold.Based on engineering data,the optimal objective and corresponding decision variables are obtained by genetic algorithm,and the sensitivity of the model parameters are analyzed to verify the model’s effectiveness.The results show that,when the threshold for preventive replacement is 8 pieces,the inspection cycle is 12 days,the target inventory level is 75 pieces,and the threshold for ordering spare parts is 45 pieces,the availability is 0.87,the minimum cost rate is 162.45 yuan/h,and the pick system achieves the global optimal joint decision.Therefore,reasonable integration and optimization of maintenance and spare parts inventory can improve the safety and economy of the pick system operation.

关 键 词：悬臂式掘进机 截齿系统 预防性维修 遗传算法 备件管理 

分 类 号：TD421[矿业工程—矿山机电]