Lecturer

ADDRESS：Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry

PHONE：18883724120

E-mail：gweifei668@163.com

Research Field and Interests：

Job shop scheduling, Integrated scheduling, Integrated process planning and scheduling, Intelligent optimization algorithm, Machine learning, etc.

Education Background：

2017.9-2022.12  Chongqing University  Majored in Mechanical engineering（PHD degree）

2014.9-2017.6  Chongqing University  Majored in Industrial engineering（Master degree）

2010.9-2014.7  Henan Polytechnic University  Majored in Industrial engineering (Bachelor degree)

Teaching Courses：

Modern Design Methods and Applications, Modeling and Simulation of Intelligent Production Systems, Production Planning and Control

Publications：

[1] Qi Lei, Weifei Guo, Yuchuan Song. Integrated scheduling algorithm based on an operation relationship matrix table for tree-structured products[J]. International Journal of Production Research, 2018, 56(15-16):5437-5456.

[2] Weifei Guo, Qi Lei, Yuchuan Song and et al. A learning interactive genetic algorithm based on edge selection encoding for assembly job shop scheduling problem[J]. Computers & Industrial Engineering, 2021, 159: 107455.

[3] Weifei Guo, Qi Lei, Yuchuan Song and et al. Integrated scheduling algorithm of complex product with no-wait constraint based on virtual component[J]. Journal of Mechanical Engineering,2020,56(04):246-257 (in Chinese).

[4] Weifei Guo, Yuchuan Song, Fan Zhou and et al. Integrated scheduling algorithm of complex product with no-wait constraint based on reversed virtual component[J]. Computer Integrated Manufacturing Systems,2020,26(12):3313-3328 (in Chinese).

[5] Weifei Guo, Yunfan Yang, Xiaoyu Wen and et al. Batch integrated scheduling algorithm of complex product based on decoding reverse feedback adjustment mechanism[J]. Control and Decision,2025,40(05):1714-1722 (in Chinese).

Projects：

Zhengzhou University of Light Industry Doctoral Foundation (2023BSJJ023), Henan Provincial Science and Technology Research Project (242102221042)