团队负责人：项冬冬
研究目标：
面向国家“制造强国”战略，对标国务院印发的《中国制造2025》，聚焦现代工业与物流大数据相关基础问题,突破试验设计、可靠性工程、质量控制和国际航运物流管理相关理论，促进统计学、工业工程、航运物流等学科的深度交叉融合，为我国大规模复杂系统工程的科学创新和有效落地提供新的理论与方法。
代表性论文：
[1] Wang, Guanghui; Feng, Long. Computationally efficient and data-adaptive changepoint inference in highdimension. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2023, 85 (3): 936-958
[2] Wang, Yaping; Sun, Fasheng; Xu, Hongquan. On design orthogonality, maximin distance and projectionuniformity for computer experiments. Journal of the American Statistical Association. 2022, 117(537): 375-385
[3] Li, Wendong; Xiang, Dongdong; Chen, Gongtao; Qiu, Peihua. Signal classifcation in large-scalemulti-sequence integrative analysis under the HMM dependence. Technometrics. 2023, 66(2): 182-195.
[4] Xiang, Dongdong; Qiu, Peihua; Wang, Dezhi; Li, Wendong. Reliable Post-Signal Fault Diagnosis forCorrelated High-Dimensional Data Streams. Technometrics. 2022, 64 (3): 323-334.
[5] Xiang, Dongdong; Pu, Xiaolong; Ding, Dong; Liang, Wenjuan. An efficient charting scheme for multivariatecategorical process with a sparse contingency table. Journal of Quality Technology. 2021, 53(1): 88-105.