姓名： 张久军

职称： 教授

研究方向：工业统计 

开设课程：数学分析  概率论与数理统计 随机过程  高等数理统计 

电子邮箱：zjjly790816@163.com 

个人简历    

教育及工作经历：（ 本科阶段排在前）

1998-09至2002-06, 辽宁师范大学,      数学院, 学士

2002-09至2005-06, 辽宁师范大学,      数学院, 硕士

2006-09至2009-06, 南开大学,    数学科学学院, 博士                                                                                                                

2005-07至2007-11, 辽宁大学, 数学院, 助教

2007-07至2010-11, 辽宁大学, 数学院, 讲师

2010-11至2017-11, 辽宁大学, 数学院, 副教授

2017-11至今,    辽宁大学, 数学院, 教授

主要成果：（截止2026年7月）：   

1.科研项目： 

[1]辽宁大学青年科研基金项目，2009LDQN28，关于多元控制图的设计理论研究，2009/07-2011/07

[2]国家自然科学基金青年科学基金项目，11101198，基于Shiryaev -Roberts过程的相关控制图研究， 2012/01-2014/12

[3]辽宁大学博士科研启动基金项目，关于公共卫生监测控制图的研究与应用，2012/06-2015/07

[4]辽宁大学科研基金（科技类）项目，LDGY2015003，统计过程控制图的设计及其应用的深入研究，2015/03-2018/12，

[5]辽宁省“百千万人才工程”资助项目，复杂数据的在线监测与诊断，2019.05-2021.05

[6]辽宁省自然基金指导计划项目，2019ZD-0193，复杂数据下某些问题的在线监测与诊断，2019.10-2022.09

[7]辽宁省自然科学基金项目-面上项目，2020-MS-139，参数估计与测量误差对函数型数据控制图的影响研究，2020.05-2022.05

[8]辽宁省教育厅科学研究项目，LJC202006，大数据背景下统计过程控制图 的理论与设计研究，2020.05-2023.10

[9]辽宁省教育厅基本科研项目，JYTMS20230768，基于寿命数据的在线监控问题研究，2023.09-2026.09

[10]辽宁大学基本科研项目，统计过程控制理论设计及其在生产实际中的应用研究，2026-07-2029.07

2.代表性论文：

Published:

[1] Zhang, J., Li, Z., Wang, Z*. (2009) Control chart based on likelihood ratio for monitoring linear profiles. Comput. Statist. & Data Anal. 53(4),1440-1448 (SCI 2区）

[2] Zhang, J., Li, Z., Wang, Z*. (2010) A multivariate control chart for simultaneously monitoring process mean and variability. Comput. Statist. & Data Anal. 54(10),2244-2252 (SCI 2区）

[3] Li, Z., Zhang, J.,Wang, Z*. (2010) Self-starting control chart for simultaneously monitoring process mean and variance. Int. J. Prod. Res. 48(15),4537-4553 (SCI 2区) 

[4] Zhang, J., Zou, C., Wang, Z*. (2010) A control chart based on likelihood ratio test for monitoring process mean and variability. Qual. Rel. Eng.Int. 26(1), 63-73(SCI 3区)

[5] Zhang, J., Zou, C., Wang, Z*. (2011) An adaptive shiryaev-roberts procedure for monitoring dispersion. Comput. & Ind. Eng. 61, 1166-1172(SCI 3区）

[6] Zhang, J., Li, Z.,Wang, Z*. (2012). A new adaptive control chart for monitoring process mean and variability. Int. J. Adv. Manu. Tech. 60(9), 1031-1038 (SCI 3区）

[7] Zhang, J., Li, Z., Chen, B.,Wang, Z*. (2014)A new exponentially weighted moving average control chart for monitoring the coefficient of variation. Comput. & Ind. Eng. 78, 205-212（SCI 3区）

[8] 张久军*，何川.(2015) 基于单个观测值用于检测多元协方差矩阵的EWMA控制图.《数理统计与管理》.34(5),858-866. (CSCD,CSSCI)

[9] 张久军，李二杰，杨瑞梅，刘双*.(2017)联合检测过程位置参数和尺度参数的非参数Cusum控制图.《数理统计与管理》..36(5),833-842(CSCD,CSSCI)

[10] Song, Z., Liu, Y., Li Z.,Zhang, J*.(2018)A comparative study of memory-type control charts based on robust scale estimators. Qual. Rel. Eng. Int.34(6),1079-1102 (SCI 3区）

[11] 张久军，张慧，杨瑞梅，何川，李忠华*.（2018）基于似然比检验的监控多项式曲线的控制图.《数理统计与管理》.37(2), 289-297(CSCD,CSSCI)）

[12] 张久军*,李琦,杨瑞梅,何川.(2018)检测对数正态分布位置参数和尺度参数的控制图.《数理统计与管理》.37(5) ,864-870（CSCD,CSSCI）

[13] Zhang, J., Li, Z.,Wang, Z*.(2018) Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure. Qual. Rel. Eng. Int. 34(2),188- 202 (SCI 3区）

[14] Song, Z., Liu, Y., Li Z.,Zhang, J*.(2018)A comparative study of memory-type control charts based on robust scale estimators. Qual. Rel. Eng. Int.34(6),1079-1102 (SCI 3区）

[15]Song, Z., Liu, Y., Li Z., Zhang, J*.(2018)A weighted likelihood ratio test-based chart for monitoring process mean and variability. J Stat Comput Sim. 88(7), 1415–1436 (SCI 4区）

[16] Chen, R., Li, Z., Zhang, J*. (2019) A generally weighted moving average control chart for monitoring the coefficient of variation. Appl. Math. Model. 70, 190–205 ( SCI 1区）

[17] Song, Z., Amitava, M., Liu, Y., Zhang, J*.(2019)Optimizing joint location-scale monitoring-An adaptive distribution-free approach with minimal loss of information. Eur J Oper Res. 274(3)，1019–1036 ( SCI 2区）

[18] 宋贽，何川，张久军* .(2019)一种可用于检测过程尺度参数的非参数控制图.《数理统计与管理》.38（4）652-660.  (CSCD,CSSCI)

[19] 刘双，何川，刘静，张久军*.(2020)测量误差对方差控制图的性能影响分析.《数理统计与管理》.39(6)，990-999(CSCD,CSSCI)

[20] 么彩莲，张久军*.(2020)基于加权似然比检验的监控线性曲线的控制图.《统计与决策》.6,35-38.（CSSCI）

[21] 宋琪，李琦，张久军*.(2020)一种检测 Maxwell 尺度参数分布控制图.《数理统计与管理》.39(3),487-494. (CSCD,CSSCI)

[22] 宋琪，何川，张久军*.(2020)测量误差对ELR控制图检测性能的影响分析.《数理统计与管理》,39(4)，654-663.(CSCD,CSSCI)

[23] Yao, C., Li Z., Zhang, J *.(2020) A phase II control chart based on weighted likelihood ratio test for monitoring polynomial profiles. J Stat Comput Sim. 90(4),676-698. (SCI 4区）

[24] Song, Z., Amitava, M., Liu, Y., Zhang, J*.(2020)An efficient approach of designing distribution-free exponentially weighted moving average schemes with dynamic fast initial response for joint monitoring of location and scale. J Stat Comput Sim.90(13),2329-2353. (SCI 4区）  

[25]Song, Z., Amitava, M, Zhang, J*.(2021)Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment. Eur J Oper Res. 289(1),177-196 （SCI 2区）

[26] Chen, R., Jin,L., Li, Z., Zhang, J*.(2021)A progressive approach for monitoring the coefficient of variation. Qual. Rel. Eng. Int. 37(6),2587-2602（SCI 3区） 

[27] Li,Q., Song, Z.,Amitava, M., Zhang, J*.(2021) Phase-II monitoring of exponentially distributed process based on type-II censored data for possible shift in location-scale. J Coput. Appl. Math. 389, 113315（SCI 2区）

[28] Song, Z., Amitava, M., Zhang, J*.(2021)A class of new circular-grid charts for signal classification.Qual. Rel. Eng. Int.  37(6),2738-2759（SCI 3 区）

[29] 李琦,张久军*.（2021）检测尺度参数的非参数控制图.《应用概率统计》. 37 (3): 241-258 (CSCD)

[30] 刘双,何川,张世豪,张久军*.（2021）几种检测过程方差的HWMA控制图.《统计与决策》.19,30-33.(CSSCI )

[31] Li, J., Yu, D., Song, Z, Amitava, M., Chen, R., Zhang J*.(2022) Comparisons of some memory-type control chart for monitoring Weibull distributed time between events and some new results. Qual. Rel. Eng. Int. 38(7),3598-3615(SCI 3区)  

[32] Yu, D., Amitava, M., Jin L., Li J., Wen, K., Zhang, J*. (2022) Performance of the Shiryaev-Roberts type scheme in comparison to the CUSUM and EWMA schemes in monitoring Weibull scale parameter based on Type I censored data. Qual. Rel. Eng. Int.38(7),3379-3403(SCI 3区)

[33] 么彩莲,李忠华,周茂袁,张久军*.(2023)参数估计对检测简单线性曲线控制图的性能影响分析.《数理统计与管理》.42(1),1-13 (CSSCI)

[34] Jin, L.,Amitava, M., Zhang, J*.(2024) Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables, J. Appl. Stat. 51(12) 2298-2325 (SCI 4区)

[35] Chen, P., Song, Z., Hu, X., Zhang, J*.(2024) Phase II control chart for monitoring Gumbel"s Bivariate Exponential distribution. Comput. & Ind. Eng.192 ( SCI 1区)

[36] Tan, Y., Amitava, M., Sun, F., Zhang, J*.(2024) Two Bayesian approaches of monitoring mean of Gaussian process using Bayes factor. Qual. Rel. Eng. Int..40:3320–3339. (SCI 3区)

[37] Hu, X., Zhao, Y., Sun, G., Zhang, J., Jiang, C., Huang, X*. (2024). Evaluation of different DEWMA schemes for monitoring the ratio of two normal random variables. J Comput Appl Math, 449, 115994 (SCI 2区)

[38] Jiang, R., Zhang, J., Yu, Z*.（2024）Adaptive EWMA control chart for monitoring two-parameter exponential distribution with type-II right censored data. J Stat Comput Sim. 94(4),787-819 (SCI 4区)

[39] Hu, X., Xia, F., Zhang, J., Song, Z*.(2025). Combined Shewhart-EWMA and Shewhart–CUSUM monitoring schemes for time between events. Qual. Rel. Eng. Int95(2),258-304 (SCI 3区)

[40] Qin, X., Zhang, J., Amitava, M., Liu, L*.(2025). Comparisons of some new and existing EWMA schemes for binomial count processes with applications to monitoring hospital no-shows. Qual. Technol. Quant. M. 22(5), 828-850 (SCI 2区)

[41] Chen, P., Amitava, M., Yang, W., Zhang, J*. (2025) Some new and simple real-time monitoring schemes for gumbels bivariate exponential time between the events. Comput. & Ind. Eng. 200, 110759 (SCI 2区)

[42] Ca,i H., Amitava, M., Zhang, J*.(2025) Bayesian generalized likelihood ratio chart for Gaussian process variance with an application to monitoring hard-bake processes. Commun.Stat.-Theor.M,54(9),2773-2790 (SCI 4区)

[43] Chen, P., He, C., Hu, X., Yu, D., Zhang, J*. (2025) A comparison of MEWMA and MCUSUM control charts for monitoring bivariate weibull distribution. Commun.Stat.-Theor.M.. 54(230),7630-7650 (SCI 4区)

[44] Yu, D., Amitava, M., Jin, L., Li, J., Wen, K., Zhang, J*.(2025) Performance of the Shiryaev-Roberts-type scheme in monitoring Weibull shape parameter based on Type II censored data. Qual. Rel. Eng. Int 41(3) , 1002-1024 (SCI 3区)

[45] Jia, Tong., Wang, J., Zhang, J*. (2025) New control schemes for the Rayleigh distribution process based on the likelihood ratio test. J Stat Comput Sim. 95(14), 3095-3115 (SCI 4区)

[46] Jiang, R., Yu, Z., Zhang, J*.(2025) EWMA scheme based on likelihood ratio test for monitoring Maxwell distribution with type-II right censored data. J Stat Comput Sim. 95(5), 1033-105 (SCI 4区)

[47] Chen, P., Zhang, J*.(2026)Copula-based multivariate control charts for monitoring multiple dependent Weibull processes. Commun.Stat.-Simul.C. 55(5),1544-1565 (SCI 4区)

[48] Lian, S., Amitava, M., Liu, B., Zhang, J*.(2026) Some elaborate comparisons of several distribution-free schemes in short production runs and some new results. Qual. Technol. Quant. M. 23(2), 266–302(SCI 2区)

[49] Sun, F., Jiang, R., Li, J., Song, Z., Yu, D., Zhang, J*. (2026)Two monitoring schemes for the Pareto distribution with known and unknown parameters. Comput. & Ind. Eng. 215, 111918 (SCI 1区)

[50] 杨薇,张久军*(2026) 监控两个相关的泊松变量比率的控制图设计.《数理统计与管理》.（In Press）

[51] 陈秋含,张久军*(2026)同时检测Beta分布双参数的EWMA控制图.《数理统计与管理》.（In Press）

[52] Song, Z., Hu, X., Zhang, J., Castagliola, P. (2026). Dynamic count time series modeling and anomaly detection for online automotive quality complaints. J. Qual. Tech..58(1) ,36-56（SCI 2区）

[53] L, Ji., Zhao, X., Zhang, J., Si, Q., He,S*.(2026) Condition-based monitoring for a serial manufacturing system considering degradation and quality variation simultaneously. Int. J. Prod. Res,64(3),798-818（SCI 2区）

Revised:

[54] Cai, H., Amitava, M., Zhang, J*.(2026) Optimal Design of the multivariate Bayesian generalized likelihood ratio schemes for monitoring the mean vector. Int. J. Prod. Res. (SCI 2区)

[55] Tang, Y., Song, Z., Zhang, J*.(2026) Change detection in over-dispersed network data using the grouped negative-binomial network autoregressive model.Comput. & Ind. Eng. (SCI 2区)

[56] Sun, F., Amitava, M., Zhang, J*.(2026) A distribution-free exponentially weighted moving average phase-II chart for monitoring location shifts with type II censored samples. Comput. & Ind. Eng.（SCI 2区)

Submitted:

[57] Sun, Fm., Feng L., Zhang, J*. (2026)Robust tensor process monitoring via spatial-sign multilinear principal component analysis.

[58] Tang, A., Dong, F., Zhang, J*.(2026)The optimization design of distribution-free EWMA charts for monitoring hotel reviews.

[59] Cai, H., Wang, Z., Zhang, J*. (2026) UniCAD Score-based schemes for joint monitoring of the mean vector and covariance matrix .

[60] Ji, X., Yang, W., Zhang, J.* (2026) Control scheme based on bayesian factor for monitoring exponential distributions

[61] Wang, M., Li, Q*., Yang, D., Zhang, J*(2026)Bayesian quantile regression for joint monitoring of linear profiles with non-normal errors.

[62] Cai, H., Amitava, M., Zhang, J*.(2026) Multivariate CUSUM scheme for short production run and its application in spring quality management.

[63] Sun, F., Amitava, M., Zhang, J*.(2026) Performance comparing of the Shiryaev-roberts type and Cusum schemes in monitoring the parameters of the Exponential Exponential distribution.

[64] Lian, S., Mukherjee, A., Liu, B., Zhang, J*.(2026) A comparative study of distribution-free schemes based on dimension reduction for short-run multivariate processes.

[65] Li, H., Chen, P., Zhang, J., Xin, Z*. (2026) Shiryaev-roberts and Cusum procedures for monitoring shape and scale parameter shifts in type II censored gamma lifetime data

[66] Li, M., Zhang, J., Ma R., Amitava, M., Li, Q*.(2026) Integrated production, maintenance, and quality control for complex manufacturing systems considering three failure modes.

3.专利与专著

《Distribution-free Methods for Statistical Process Monitoring and Control》, Springer, Cham.

A Class of Distribution-Free Exponentially Weighted Moving Average Schemes for Joint Monitoring of Location and Scale Parameters. Song, Z., Mukherjee, A*., Marozzi, M., Zhang, J. (2020) ,183-217

4.荣誉与奖励：

[1]2018年辽宁大学本科优秀主讲教师

[2]2019年入选辽宁省第13批“百千万人才工程”百人层次人选

[3]2020年被评为“沈阳市高级人才-领军人才”                                                                   

[4]2021年被评为辽宁省普通本科教学名师

[5]2022年被评为辽宁省高校“校园先锋示范岗”（个人）

[6]2022年辽宁大学“校园先锋示范岗”（个人）

[7]2024年辽宁大学师德师风模范标兵等称号

[8]2025年辽宁大学优秀博士毕业论文一等奖指导教师

5.教改项目：

[1]辽宁大学本科教学改革研究立项确定项目，JG2018ZC31，大数据背景下《概率论与数理统计》课程教学模式改革的

研究与实践，2018

[2]辽宁大学本科教学与改革工作, 项目编号 LNDXJG20182020

[3]辽宁大学课程思政建设工程重点培育示范课程，2019

[4]辽宁大学研究生“课程思政”示范课程，YSZ202311018，2023

[5]辽宁省研究生教学改革研究项目，统计学学术型硕士研究生培养体系研究与实践，2024.04-2025.04

[6]辽宁大学研究生优质课程建设与教学模式综合改革研究项目，YJG202501039，研究生《线性模型引论》课程创新改

革与实践研究，2025

6.主要社会兼职：

[1]全国工业统计学教学研究会人工智能与大数据技术专业委员会副理事长

[2]全国工业统计学教学研究会地学数据分会理事

[3]中国现场统计研究会多元统计分析分会理事

[4]中国现场统计学会生存分析分会理事

[5]辽宁省数学会理事