Peng Guo
Associate Professor
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Supervisor of Master's Candidates
- Master Tutor
- Education Level:PhD graduate
- Degree:Doctor of engineering
- Business Address:Jixie Building, Jiuli Campus
- Professional Title:Associate Professor
- Alma Mater:Southwest Jiaotong University
- Supervisor of Master's Candidates
- School/Department:School of Mechanical Engineering
- Discipline:Industrial Design and Engineering
Mechanical Design and Theory
Contact Information
- Profile
- Research Focus
- Honors & Awards
- Social Affiliations
BIO
Education
PhD, Southwest Jiaotong University, Mechanical Engineering (2014)
B.S., Southwest Jiaotong University, Industrial Engineering (2009)
Employment
Academic Appointments
Associate Professor, School of Mechanical Engineering, Southwest Jiaotong University, China (2017-Present)
Lecture, School of Mechanical Engineering, Southwest Jiaotong University, China (2014-2017)
Postdoctoral Fellow, , IFSTTAR, France (2019-2020)
Visiting Scholar, Friedrich Schiller University Jena, Germany (2016-2017)
Research Interests
Data-driven decision optimization, Smart production system, logistics system modelling and optimization
SELECTED PUBLICATIONS
Principal Publications of the Last Five Years
Peng Guo, Xun He, Yulin Luan, Yi Wang. Logic-based Benders decomposition for gantry crane scheduling with transferring position constraints in a rail-road container terminal. Engineering Optimization, 2021,53.
Peng Guo, Felix Weidinger, and Nils Boysen. Parallel machine scheduling with job synchronization to enable efficient material flows in hub terminals. Omega. 2019,89.
Peng Guo, Wenming Cheng, Yi Wang, and Nils Boysen. Gantry crane scheduling in intermodal rail-road container terminals. International Journal of Production Research. 2018,56(16).
Peng Guo, Wenming Cheng and Yi Wang. Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problem. Expert Systems with Applications, 2017, 71.
Peng Guo, Wenming Cheng and Yi Wang. Scheduling step-deteriorating jobs to minimize the total weighted tardiness on a single machine. International Journal of Systems Science, 2017.
Selected Awards and Honors
The Third Prize of Progress in Science and Technology of Sichuan Province (2018)
Best Paper Award of Omega (2019)
The Second Prize of Excellent Paper in the First Sichuan-Chongqing Science and Technology Academic Conference, China (2020)
RESEARCH
Current Research
Data-driven real time optimization on production line
TEACHING
Primary Teaching areas
Industrial Engineering
Production management
Economics
Current Courses
Production planning and control
System modelling and simulation
Economics
GRADUATE SUPERVISION
I am available for master supervision. Over the past five years, I have supervised more than 15 master students and graduated 11 masters
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Education Background
1.2009.9-2014.1
西南交通大学 | 机械工程 | Doctor's degree | PhD graduate
2.2005.9-2009.6
西南交通大学 | 工业工程 | undergraduates | Bachelor degree
Positions & Employments
1.2017.12-2021.3
西南交通大学 | 机械工程学院 | 副教授
2.2014.1-2017.12
西南交通大学 | 机械工程学院 | 讲师
3.2019.9-2020.9
法国IFSTTAR | ESTAS | Researcher
4.2016.8-2017.8
德国Friedrich-Schiller-Universität Jena | Department of Operations Management | Visting Scholar
Research Group
1.Name of Research Group:轨道交通运维智能装备研究团队
Description of Research Group:专注于大规模AGV集群系统，智能仓储等。
2.Name of Research Group:智能优化应用研究团队
Description of Research Group:专注于高级排产系统APS、车辆排线系统等，力求解决生产制造与物流过程中的优化难题，提供优化算法解决方案。