Department of Industrial Engineering

【Biography】

Shang Yanfen is a professor at the Department of Industrial Engineering in the College of Management & Economics, Tianjin University. She received her Ph.D. degree in Industrial Engineering & Logistical Management from Hong Kong University of Science & Technology (HKUST) in 2011, M.S. in Management Science & Engineering from Tianjin University in 2007 and B.S. in Industrial Engineering from Tianjin University in 2004. Her research interests focus on Quality Management and Statistical Process Control especially. Processor Shang teaches Human Factors Engineering and Production Plan & control etc. in the College of Management & Economics, Tianjin University.

Prof. Shang has published several SCI articles in some international journals, such as Journal of Quality Technology, IIE Transactions, Computers and Industrial Engineering, etc. She is co-author of one book (one chapter). She has also been the project leader for three research projects granted by National Natural Science Foundation of China (NSFC) and one project granted by Ministry of Education in China. Moreover, she has been invited to be a reviewer by many international journals, such as Technometrics, Computers & Industrial Engineering, International Journal of Production Research, IIE Transactions and so on.

【Education and Career】

【Publications】

[1] Tsung, F., Shang, Y., and Ning, X., " Statistical Quality Control - Recent Advances," in " Springer's International Encyclopedia of Statistical Sciences ," Ed. Lovric, M., Springer, New York, 2011.

【Journal Paper】

[1] Shang, Y., Lu, C., Li, L., & He, S. (2024). Self-starting monitoring schemes for small-sample poisson profiles based on transfer learning. Computers & Industrial Engineering, 192, 110262.

[2] 李龙辉，商艳芬*，刘彦利，刘子先(2023)，考虑手术分类协变量的风险调整EWMA控制图，工业工程与管理，28(06), 193-200。

[3] Li, L. H., Liu, Y. L., Shang, Y. F.*, & Liu, Z. X. (2023). A new phase II risk-adjusted CUSUM chart for monitoring surgical performance. Computers & Industrial Engineering, 186, 109738.

[4] Lisha Song, Shuguang He, Ting Li & Yanfen Shang* (2023) Semiparametric control schemes for dynamically monitoring profiles with count data and arbitrary design, International Journal of Production Research, 61(4), 1185-1201.

[5] Zhiqiong Wang, Zhen He, Yanfen Shang & Yanhui Ma (2023): Change-point detection for autocorrelated multivariate Poisson processes, Quality Technology & Quantitative Management, 20(3), 384-404.

[6] Song, L. , He, S. , Zhou, P. , & Shang, Y.* . (2022). Empirical likelihood ratio charts for profiles with attribute data and random predictors in the presence of within profile correlation. Quality and Reliability Engineering International, 38(1)：153-173

[7] Shuguang He, Lisha Song, Yanfen Shang & Zhiqiong Wang (2021) Change-point detection in Phase I for autocorrelated Poisson profiles with random or unbalanced designs, International Journal of Production Research, 59(14): 4306-4323

[8] Zhang, Y., Shang, Y., Li, A., (2021) Self-information-based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes. Quality and Reliability Engineering International, 37(5): 1847– 1862.

[9] 商艳芬，李振，何曙光(2020)，考虑轮廓间一阶自相关的二项响应轮廓控制图，系统工程学报，35(1),24-32。

[10] Li Z., Shang Y.*, and He, Z. (2019). “Phase I outlier detection in profiles with binary data based on penalized likelihood”. Quality and Reliability Engineering International, 35, 1-13.

[11] Shang Y., Li T., Song L., and Wang Z. (2019). “Control charts for monitoring two-dimensional spatial count data with spatial correlations”. Computers & Industrial Engineering, Volume 137,106043.

[12] Shang Y., Wang Z., and Zhang Y. (2018). “Nonparametric control schemes for profiles with attribute data”. Computers & Industrial Engineering, 125, 87-97.

[13] Yang Zhang, Yanfen Shang, Min Zhang & Xiaofang Wu (2018) Zone control charts with estimated parameters for detecting prespecified changes in linear profiles, Communications in Statistics - Simulation and Computation, 47:9, 2749-2774.

[14] Shang Y., Wand Z., He Z., and He S. (2017). “Nonparametric change-point detection for profiles with binary data.” Journal of Quality Technology, 49(2), 123-135.

[15] Yang Zhang, Yanfen Shang, Zhen He, Qing Wang*. CUSUM schemes for monitoring prespecified changes in linear profiles, Quality and Reliability Engineering International, 2017, 33(3), 579-594.

[16] Yang Zhang, Yanfen Shang, Nini Gao & Qing Wang (2017) Monitoring prespecified changes in linear profiles using control charts with supplementary runs rules, Communications in Statistics - Simulation and Computation, 46:9, 7249-7263

[17] Shang Y., Man J., He Z., and Ren H. (2016). “Change-point detection in phase I for profiles with binary data and random predictors”. Quality & Reliability Engineering, 32(7), 2549-2558.

[18] He Z., Wang Z., Tsung F., and Shang Y.* (2016). “A control scheme for autocorrelated bivariate binomial data”. Computers & Industrial Engineering, 98, 350-359.

[19] Shang Y., Zi X., Tsung F., and He Z.(2014) “LASSO-based diagnosis scheme for multistage processes with binary data”, Computers & Industrial Engineering, 72, 198-205.

[20] Shang Y., Tsung F., and Zou C. (2013). “Statistical Process Control for Multistage Processes with Binary Outputs”, IIE Transactions, 45(9), 1008-1023.

[21] Shang Y., Tsung F., and Zou C. (2011). “Profile Monitoring with Binary Data and Random Predictors”, Journal of Quality Technology, 43, 196-208.

[22] Shang Y., Wang K. and Tsung F. (2009). “An improved run-to-run process control scheme for categorical observations with misclassification errors”. Quality and Reliability Engineering International, 25, 397-407.

【Conference Paper】

[1]Ning X., Shang Y. and Tsung F. (2009). “Statistical Process Control Techniques to Service Processes: A Review”. Proceedings of the 6th International Conference on Service Systems and Service Management, Xiamen.

【Research Projects】

[1] Monitoring and Diagnosing Schemes for Service Processes with Categorical Data, funded by the National Natural Science Foundation of China, 2013-2015.

[2] Statistical Process Control for Spatiotemporal Categorical Data, Elite Scholar Program of Tianjin University, 2015-2016.

[3] Statistical Process Control Techniques for Spatiotemporal Categorical Data, funded by the National Natural Science Foundation of China, 2017-2020.

[4] The monitoring and diagnosing schemes for health care processes considering patient heterogeneity, funded by the National Natural Science Foundation of China, 2015-2028.

[5] Research on the surgical performance monitoring and diagnosing schemes based on machine learning methods, Funded by MOE (Ministry of Education in China) Liberal arts and Social

【Academic Part-time jobs】

[1] Reviewer of many journals, such as Technometrics, Computers & Industrial Engineering, International Journal of Production Research, IIE Transactions, etc.

[2] Member of Council, Tianjin society of Industrial Engineering