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个人简介

个人简历 南京林业大学,副教授 科研项目 国家自然科学基金面上项目,考虑多源衰退的租赁制造系统协同维护决策与动态均衡生产策略研究,在研,主持 教授课程 本科课程: 系统工程原理与方法、工程经济概论、投资项目评估、企业管理 研究生课程: 系统工程学

研究领域

可靠性建模、工业工程、质量工程

近期论文

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1.Yaping Li*, Enrico Zio, Ershun Pan. An MEWMA-Based Segmental Multivariate Hidden Markov Model for Degradation Assessment and Prediction. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of risk and reliability. 2021-1-28. https://doi.org/10.1177/1748006X21990527. 2.Yaping Li*, Lianjie Shu. Joint Optimization of Statistical Process Control and Maintenance Policy under Random Maintenance Time: A GERT Network Method. Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. Venice, Italy. Nov. 2-5, 2020. 3.李亚平*, 陶良彦. 基于改进型GERT网络的多工序制造过程质量损失预测研究[J]. 工业工程与管理,2020. 4.Yaping Li*, Ershun Pan, Yan Xiao. On autoregressive model selection for the exponentially weighted moving average control chart of residuals in monitoring the mean of autocorrelated processes. Quality and Reliability Engineering International, 2020, 36(7): 2351-2369. https://doi.org/10.1002/qre.2701. 5.肖艳, 李亚平*, 俞少君. 残差控制图应用中的自相关过程模型研究. 工业工程与管理, 2020, 25(143): 69-76. 6.Yaping Li*, Mengdie Huang, Ershun Pan. A Residual Chart with Hidden Markov Model to Monitoring the Auto-Correlated Processes. Journal of Shanghai Jiaotong University(Science), 2018, 23(Sup. 1): 103-108. 7.Yaping Li*, Zhen Chen, Ershun Pan. Joint Economic Design of CUSUM Control Chart and Age-Based Imperfect Preventive Maintenance Policy. Mathematical Problems in Engineering, 2018: 9246372 (11 pages). ( https://doi.org/10.1155/2018/9246372) 8.Yaping Li*, Zhen Chen, Liangyan Tao, Sifeng Liu. A novel multi-variable grey prediction model with the inequality constraints. Journal of Grey System, 2018, 30(2): 107-116. 9.Yaping Li*, Zhen Chen, Liangyan Tao, Sifeng Liu, Xiaojun Guo. A Novel Multi-Variable Grey Prediction Model and Its Application in Sino-Russian Timber Trade Volume Forecasting. Journal of Grey System, 2017,29(4): 109-121.

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