Zhengwen He is a professor at the Industrial Engineering Department of Management School, Xi’an Jiaotong University, and a member of the Scheduling Committee of ORSC (the Operations Research Society of China). His educational experiences are as follows.
❒Received Bachelor's Degree from the Mechanical Engineering Department of Xi’an Jiaotong University in 1989.
❒Received Master's Degree from the Mechanical Instrumental Engineering School of Xi'an University of Technology in 2001.
❒Received Doctor's Degree from the Management School of Xi’an Jiaotong University in 2004.
His research areas are project scheduling optimization. He has completed 19 research projects as a leader, including
❒the project “research on scheduling optimization of large and complex construction projects with cash flow dynamic balance objective under risk environment” funded by the National Natural Science Foundation of China under contract No. 71371150, and
❒the project “study on optimization of proactive / reactive scheduling for emergency response” funded by the National Natural Science Foundation of China under contract No. 70971105.
He has published 76 papers, four of them being published in the international A-level journals:
❒Zhengwen He, Nengmin Wang, Pengxiang Li. Simulated annealing for financing cost distribution based project payment scheduling from a joint perspective. Annals of Operations Research, published online, DOI 10.1007/s10479-012-1155-9.
❒Zhengwen He, Renjing Liu, Tao Jia. Metaheuristics for multi-mode capital-constrained project payment scheduling. European Journal of Operations Research, 2012, 223(3): 605−613.
❒Zhengwen He, Nengmin Wang, Tao Jia, Yu Xu. Simulated annealing and tabu search for multi-mode project payment scheduling. European Journal of Operational Research, 2009, 198(3): 688–696.
❒Zhengwen He, Yu Xu. Multi-mode project payment scheduling problems with bonus-penalty structure. European Journal of Operational Research, 2008, 189(3): 1191–1207.
Most of his other papers are published in the important journals identified by the National Natural Science Foundation of China.