Biao Lu   

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Profile

南京航空航天大学经济与管理学院讲师,硕士生导师。目前主要从事可靠性工程、质量管理、智能制造系统等领域的研究工作。在Reliability Engineering and System Safety、Journal of Manufacturing Systems、Computers and Industrial Engineering、International Journal of Production Research等期刊发表论文10余篇。主持国家自科基金项目、江苏省自科基金项目等多个项目。目前主要讲授《运筹学》、《应用统计学》等课程。


 【教育背景

2013.9-2019.6      上海交通大学               工业工程           博士(硕博连读)

2009.8-2013.7      西安电子科技大学        工业工程           学士

工作经历

2019.06-至今          南京航空航天大学       经济与管理学院,             讲师、硕士生导师

2022.09-2023.09    新加坡国立大学          工业系统工程与管理系       访问学者


研究方向

质量与可靠性

智能制造系统

复杂系统运维管理


科研项目

(1) 国家自然科学基金青年项目“在线多维退化数据驱动的混联制造系统动态维护调度研究”(52005260),2021年1月—2023年12月,负责人

(2)江苏省自然科学基金青年项目“在线退化数据驱动的多工序制造系统动态维护调度研究”(BK20200446),2020年7月—2023年6月,负责人

(3)江苏省双创博士“离散制造系统生产、质量与维护的集成建模与优化研究”,2020年9月—2022年9月,负责人

(4)南京航空航天大学新教师工作启动基金,2020年1月—2021年12月,负责人

(5)国家自然科学基金面上项目“衰退流驱动的多工序制造系统维护调度研究” (51575356),2021年1月—2024年12月,学术骨干

(6)国家智能制造专项“航天中型运载火箭箭体智能制造车间试点示范”之子课题“装备及制造资源运维管理”,2016年-2018年,参与人


代表性论文

   (1) Biao Lu*, Yumei Luo. A dynamic condition-based maintenance policy for heterogeneous-wearing tools with considering product quality deterioration. International Journal of Production Research, Published online, 2024. 

  (2) Yumei Luo, Biao Lu*. Remaining Useful Life Prediction for Heterogeneous Wearing Cutting Tools Based on Inverse Gaussian Process and Bayesian Inference [C]. The 5th International Conference on System Reliability and Safety Engineering. IEEE, 2023: 280-286. (Best Paper Award)

(3)Wang Y, Zou K, Sun N, Lu B*. Remaining Useful Life Prediction for Heterogeneous-Wearing Cutting Tools Based on Gamma Process and Bayesian Inference[C]. 2022 4th International Conference on System Reliability and Safety Engineering. IEEE, 2022: 430-436. 

(4) Biao Lu*, Zhen Chen, Xufeng Zhao. Data-driven dynamic adaptive replacement policy for units subject to heterogeneous degradation. Computers & Industrial Engineering, 2022, 171: 108478.    

  (5) Biao Lu*. A QMM-MOP methodology for the maintenance scheduling of multistage manufacturing systems with a stream of deterioration. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2022, 236(5):557-571.

  (6) Biao Lu*, Zhen Chen, Xufeng Zhao. Data-driven dynamic predictive maintenance for a manufacturing system with quality deterioration and online sensors. Reliability Engineering & System Safety, 2021, 212: 107628. 

  (7) Weiwei Cui, Biao Lu*. Energy-aware operations management for flow shops under TOU electricity tariff. Computers & Industrial Engineering, 2021, 151: 106942.  

(8)Biao Lu*, Dehao Zhou. Optimal tool replacement decisions using wear data and proportional hazard model. Proceedings - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021, PP68-72. 

  (9) Weiwei Cui, Biao Lu*. A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint. Sustainability, 2020, 12(10), 4110. 

  (10) Biao Lu, Xiaojun Zhou*.Quality and reliability oriented maintenance for multistage manufacturing systems subject to condition monitoring. Journal of Manufacturing Systems, 2019, 52: 76-85.

  (11) Xiaojun Zhou*, Biao Lu. Preventive maintenance scheduling for serial multi-station manufacturing systems with interaction between station reliability and product quality. Computers & Industrial Engineering, 2018, 122:283-291. 

  (12) Biao Lu, Xiaojun Zhou*. Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration. Reliability Engineering & System Safety, 2017, 168:116-127.

  (13) Biao Lu, Xiaojun Zhou. Performance-oriented preventive maintenance policy for deteriorating single-machine manufacturing systems. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 

  (14) Biao Lu*, Xiaojun Zhou, Yanting Li. Joint modeling of preventive maintenance and quality improvement for single-machine manufacturing systems. Computers & Industrial Engineering, 2016, 91:188-196.

(15)陆彪, 牛文祥. 质量劣化系统的生产与维护集成建模与优化[J]. 工业工程与管理, 2023, 28 (06): 57-66. 

(16)陆彪. 经管类专业"运筹学"渐进式教学方法[J]. 教育教学论坛, 2022, 36: 157-160. 

(17)史凯龙,陆彪,方玲珍,周晓军(*). 产能导向的三设备混联系统预防维护决策. 计算机集成制造系统, 2019, 25(11): 2813-2819. 

(18)方玲珍,史凯龙,陆彪,周晓军(*). 基于维护效率的设备多目标预防维护优化建模. 计算机集成制造系统, 2018, 24(06): 1438-1444. 


教学工作

课程名称:运筹学II;授课对象:本科生;学时数:56;学分:3.5

课程名称:应用统计学;授课对象:本科生;学时数:36(共80);学分:5


学术兼职

江苏省系统工程学会质量与可靠性系统专业委员会委员

Guest Editor for Processes (SCI, IF: 3.5). 

Session Chair for the 5th International Conference on System Reliability and Safety Engineering

IEEE Transactions on Reliability,Reliability Engineering and System Safety,International Journal of Production Economics,Computers and Industrial Engineering,International Journal of Production Research,Applied Mathematical Modeling等期刊审稿人。


荣誉奖励

2019   第一届广东省暨粤港澳大湾区工业工程创新大赛,一等奖,指导老师

2021  第十六届“ 东风日产杯” 清华IE亮剑全国工业工程应用案例,二等奖,指导老师

2021  “ 一汽丰田杯” 第四届工业工程与精益管理创新赛,二等奖,指导老师

2022  第十七届“ 东风日产杯” 清华IE亮剑全国工业工程应用案例,三等奖,指导老师

2023  正大杯第十三届全国大学生市场调查与分析大赛江苏省赛区,二等奖,指导老师


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