Shifting economic bottleneck identification. - Junqiang Wang; Jian Chen 022; Shuo Wang; Yingfeng Zhang; Shudong Sun (IEEM, 2011)

The TOC-Based Algorithm for Solving Multiple Constraint Resources: A Re-examination. - Junqiang Wang; Zhong-Tian Zhang; Jian Chen 022; Yin-Zhou Guo; Shuo Wang; Shudong Sun; Ting Qu; George Q. Huang (IEEE Trans. Engineering Management, 2014)

Schedule-based execution bottleneck identification in a job shop. - Junqiang Wang; Jian Chen 022; Yingqian Zhang 001; George Q. Huang (Comput. Ind. Eng., 2016)

Synchronized production scheduling for order fulfillment. - Jian Chen 022 (2016)

Coordination of service clients in cloud manufacturing considering MfgSync. - Jian Chen 022; George Q. Huang; Junqiang Wang (CASE, 2017)

IoT-enabled manufacturing synchronization for ecommerce. - Peng Lin; Xiangtianrui Kong 001; Ming Li 055; Jian Chen 022; George Q. Huang (CASE, 2017)

Synchronisation for smart factory - towards IoT-enabled mechanisms. - Peng Lin; Ming Li 055; Xiangtianrui Kong 001; Jian Chen 022; George Q. Huang; Meilin Wang (Int. J. Comput. Integr. Manuf., 2018)

Synchronized scheduling of production and outbound shipping using bilevel-based simulated annealing algorithm. - Jian Chen 022; George Q. Huang; Jun-Qiang Wang (Comput. Ind. Eng., 2019)

A cooperative approach to service booking and scheduling in cloud manufacturing. - Jian Chen 022; George Q. Huang; Junqiang Wang; Chen Yang 011 (Eur. J. Oper. Res., 2019)

Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals. - Jian Chen 022; Meilin Wang; Xiang T. R. Kong; George Q. Huang; Qinyun Dai; Guoqiang Shi (J. Intell. Manuf., 2019)

Shifting bottleneck-driven TOCh for solving product mix problems. - Jian Chen 022; Jun-Qiang Wang; Xiang-Yang Du (Int. J. Prod. Res., 2021)

Digital twin-enabled dynamic spatial-temporal knowledge graph for production logistics resource allocation. - Zhiheng Zhao; Mengdi Zhang 001; Jian Chen 022; Ting Qu; George Q. Huang (Comput. Ind. Eng., 2022)

A memetic algorithm for energy-efficient scheduling of integrated production and shipping. - Jian Chen 022; Tong Ning; Gangyan Xu; Yang Liu 034 (Int. J. Comput. Integr. Manuf., 2022)

Logic-based Benders decomposition for order acceptance and scheduling in distributed manufacturing. - Jian Chen 022; Wenjing Ma; Xudong Ye; Zhiheng Zhao (Adv. Eng. Informatics, 2023)

Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II. - Peize Li; Qiang Xue; Ziteng Zhang; Jian Chen 022; Dequn Zhou (Comput. Oper. Res., 2023)

Optimization of Dynamic Scheduling in Additive Manufacturing with Deep Reinforcement Learning. - Mingyue Sun; Jiyuchen Ding; Jian Chen 022; Zhiheng Zhao; George Q. Huang (CASE, 2024)

Real-time scheduling for two-stage assembly flowshop with dynamic job arrivals by deep reinforcement learning. - Jian Chen 022; Hanlei Zhang; Wenjing Ma; Gangyan Xu (Adv. Eng. Informatics, 2024)

Logic-based Benders decomposition for order acceptance and scheduling on heterogeneous factories with carbon caps. - Jian Chen 022; Xudong Ye; Wenjing Ma; Dehua Xu (Comput. Oper. Res., 2024)

Graph neural networks for job shop scheduling problems: A survey. - Igor G. Smit; Jianan Zhou 002; Robbert Reijnen; Yaoxin Wu; Jian Chen 022; Cong Zhang; Zaharah Bukhsh; Yingqian Zhang 001; Wim Nuijten (Comput. Oper. Res., 2025)

Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling. - Mingyue Sun; Jiyuchen Ding; Zhiheng Zhao; Jian Chen 022; George Q. Huang; Lihui Wang 001 (Robotics Comput. Integr. Manuf., 2025)