Academic Areas: Intelligent optimization theory, algorithms and applications Modeling, optimization and scheduling for production manufacturing systems
Quan-ke Pan is a full professor of department of Industrial & Manufacturing System Engineering, School Of Mechanical Science & Engineering, Huazhong University Of Science & Technology. His research interests include intelligent optimization theory, algorithms and applications, modeling, optimization and scheduling for production manufacturing systems. He has authored one academic book and more than 130 refereed papers and acts as the editorial board member for several journals, including American Journal of Management Studies, Operations Research Perspectives, and etc.
2003 Nanjing University of Aeronautics and Astronautics Ph.D
2000 Nanjing University of Aeronautics and Astronautics M.Sc
1993 Nanjing University of Aeronautics and Astronautics B.Sc
11.2014- Full Professor, Huazhong University of Science & Technology
06.2011-11.2014, Full Professor Northeast University.
07. 2006-05. 2011, Full Professor Liaocheng University.
01. 2005-06. 2006, Associate Professor Liaocheng University.
06. 2003-12. 2004, Assistant Professor Liaocheng University.
07. 1993-07. 1997, Industrial Engineer Liaocheng Electromotor Company.
1.Pan Quan-Ke, Ruiz Ruben. Local search methods for the flowshop scheduling problem with flowtime minimization. European Journal of Operational Research 2012(1), 222, 31-41.
2.Mao Kun, Pan Quan-ke, Pang Xinfu, Chai Tianyou. A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process. European Journal of Operational Research 2014, 236:51-60.
3.Pan Quan-Ke, Ruiz Ruben. An estimation of distribution algorithm for lot-streaming flow shop problems with setup times. OMEGA-International Journal of Management Science 2012, 40(2):166-180.
4.Pan Quan-Ke, Wang Ling. Effective heuristics for the blocking flowshop scheduling problem with makespan minimization. OMEGA-International Journal of Management Science 2012, 40(2):218-229.
5.Pan Quan-Ke, Ruiz Ruben. An effective iterated greedy algorithm for the mixed no-idle permutation flowshop scheduling problem, OMEGA-International Journal of Management Science 2014, 44:41-50.
6.Pan Quan-Ke, Wang Ling, Li Jun-qing. A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimization, OMEGA-International Journal of Management Science, 2014, 45:42-56
Awards and Honors
2013 Natural Science Award (First Place Prize) by MOE of China
Intelligent optimization algorithms and applications (for undergraduate students)
Intelligent optimization algorithms and applications (for graduated students)
1.Program for New Century Excellent Talents in University: Optimization and scheduling theory and algorithms for lot-streaming problems (NCET-13-0106)
2.NSFC Project (61174187): Study on the adaptive and robust scheduling theory and algorithms in steelmaking and continuous casting production
3.NSFC Project (60874075): Optimization and scheduling theory and algorithms based on the novel population-based meta-heuristics for complex manufacturing systems