Xu Jun | 胥军

Associate Professor

Xidian University | 西安电子科技大学

Prof. Xu Jun is currently an Associate Professor with the Guangzhou Institute of Technology, Xidian University, China. Under the supervision of Prof. Jun-Qiang Wang, Prof. Xu Jun received the Master degree and Ph.D. degree in Mechatronic Engineering from Northwestern Polytechnical University, Xi’an, China, in 2017 and 2022, respectively. He was invited to visit the University of Michigan-Dearborn as a scholar during the time period from 2019 to 2020.

His research interests include Advanced manufacturing system, Production scheduling, Algorithm design, Digital twin.

Office: B7-502
Email: xujun@xidian.edu.cn

Journals

  1. Xu, J., Wang J Q, Liu Z. “ Parallel batch scheduling: Impact of increasing machine capacity,” [J]. Omega, 2022, 108: 102567.

  2. Lin R, Wang J Q, Liu Z & Xu, J. “Best possible algorithms for online scheduling on identical batch machines with periodic pulse interruptions,” [J]. European Journal of Operational Research, 2023.

Patents

  1. Wang Jun-Qiang, Xu Jun, Wang Yan, Fan Guo-Qiang, Yan Fei-Yi, Cui Peng-Hao, Xia Tian. An input-output decision method for considering the cost of parallel batch machines. (ZL201711154748.7)

  2. Wang Jun-Qiang, Yan Fei-Yi, Cui Peng-Hao, Fan Guo-Qiang, Xu Jun, Yang Hong-An. Performance evaluation method for serial lines with batching machines. (ZL201610302039.8)

  3. Wang Jun-Qiang, Yan Fei-Yi, Cui Peng-Hao, Cui Fu-Dong, Fan Guo-Qiang, Xu Jun, Yang Hong-An. Performance evaluation method for assembly systems with multiple failure modes. (ZL201610219515.X)

  4. Wang Jun-Qiang, Xu Jian-Li, Zhou Xian-Hua, Du Xiang-Yang, Fan Guo-Qiang, Xu Jun, Yang Hong-An. An improved analytic method for solving TOC product mix optimization problems. (ZL201610162869.5)

  5. Wang Jun-Qiang, Xu Jian-Li, Zhou Xian-Hua, Du Xiang-Yang, Fan Guo-Qiang, Xu Jun, Yang Hong-An. A solving approach for product mix optimization based on left capacity redistribution strategy. (ZL201610220621.X)

Conferences

  1. Parallel batch scheduling with job compatibility and controllable processing times. The 2021 INFORMS Virtual Annual Meeting, Online, Anaheim, USA, Oct. 24-27, 2021.

  2. Power of Splitting on Parallel Machines with Setup Time. The 2020 INFORMS Virtual Annual Meeting, Online, USA, Nov. 08-11, 2020.

  3. Impact of Job Compatibility on Parallel Batch Machine Scheduling. The 2019 INFORMS Annual Meeting, Seattle, USA, Oct. 20-23, 2019.

  4. Parallel-batching Scheduling Impact of Adding Machine Capacity. The 2018 INFORMS Annual Meeting, Phoenix, USA, Nov. 03-07, 2018.