ZHANG Bin

Professor

Research Areas:Supply Chain Finance, Logistics and supply chain management

Education

•  2008  Doctor of Philosophy, Management Science and Engineering, University of Science and Technology of China, PRC

•  2002  Bachelor of Science, Information Management and Information Systems, University of Science and Technology of China, PRC

•  2002  Bachelor of Engineering, Computer Science and Applications, University of Science and Technology of China, PRC

 

Professional Experiences

Working Experiences

• Professor, School of Business, Sun Yat-sen University, PRC

• Professor, Lingnan (University) College, Sun Yat-sen University, PRC

• Associate Professor, Lingnan (University) College, Sun Yat-sen University, PRC

• Lecturer, Lingnan (University) College, Sun Yat-sen University, PRC

 

Visiting Experiences

• Visiting Scholar, Sloan Management School, MIT, America

• Research Assistant, Department of industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, HK

 

Referee Experiences

• European Journal of Operational Research, Journal of Operational Research Society, Asia-Pacific Journal of Operational Research, Applied Mathematical Modeling, International Journal of Society Systems Science

 

Awards and Honors

• First Prize of Teaching Contest at Sun Yat-sen University

• First Prize of Excellent Research Contribution at Lingnan College

• The President Scholarship of CAS, PRC

• High College Outstanding Science and Technology Award (Grade 1), Anhui, PRC

 

Publications

• Shuxing Sun, Bin Zhang*, and Yiting Huang. E-tailer’s supply chain structures in group buying: Monopolistic or competitive retailing? International Journal of Electronic Commerce, 2021, in press.

•Qiangqiang Wang, Bin Zhang*. A guarantee credit model with substitutable product competition, International Journal of Production Research, 2020, https://doi.org/10.1080/00207543.2020.1830195 (SCI)

• Wang, X., & Zhang, B. (2019). Online retailers' strategic rationing based on consumer choice behavior. Journal of Management Sciences in China, 22(10):9-23.

• Zhang, B., Duan, D., & Ma, Y. (2018). Multi-product expedited ordering with demand forecast updates. International Journal of Production Economics, 206, 196-208.

• ZHANG, B and XU L, “Multi-item production planning with carbon cap and trade mechanism,” International Journal of Production Economics, 2013, http://dx.doi.org/10.1016/j.ijpe.2013.01.024

• ZHANG, B, “Multi-tier binary solution method for multi-product newsvendor problem with multiple constraints, ”  European Journal of Operational Research, 2012, 218(2), 426–434.

• ZHANG, B and HUA Z, “Simple solution methods for separable mixed linear and quadratic knapsack problem,” Applied Mathematical Modelling, 2012, 36(7), 3245–3256.

• ZHANG, B, “Capacity-constrained multiple-market price discrimination,” Computers & Operations Research, 2012, 39, 105–111.

• ZHANG, B and Chen B, “Heuristic and exact solution method for convex nonlinear knapsack problem,” Asia-Pacific Journal of Operational Research, 2012, 29(5), 1250031.

• ZHANG, B, “Optimal policy for a mixed production system with multiple OEM and OBM products,” International Journal of Production Economics, 2011, 130: 27-32.

• ZHANG, B and Wang X, “Optimal policy and simple algorithm for a deteriorated multi-item EOQ problem,” American Journal of Operations Research, 2011, 1(2), 46-50.

• Chen B, Zhang B and Zhu W, “Combined trust model based on evidence theory in iterated prisoner's dilemma game,” International Journal of Systems Science, 2011, 42(1):63–80.

• ZHANG, B and DU, S, “Multi-product newsboy problem with limited capacity and outsourcing,” European Journal of Operational Research, 2010, 202:107-113.

• ZHANG, B and HUA Z, “A portfolio approach to multi-product newsboy problem with budget constraint,” Computers & Industrial Engineering, 2010, 58: 759-765.

• ZHANG, B, XU, X and HUA, Z, “A binary search method for the multi-product newsboy problem with budget constraint,” International Journal of Production Economics, Vol. 117, pp. 136-141.

• ZHANG, B and HUA, Z, “A unified method for the convex nonlinear knapsack problem,” European Journal of Operational Research, Vol. 191, pp. 1-6.

• HUA, Z and ZHANG, B, “Improving density forecast by modeling asymmetric features: an application to S&P500 returns,” European Journal of Operational Research, Vol. 185 No. 2, pp. 716-725.

• HUA, Z, ZHANG, B and XU, X, “A new variable reduction condition for bounded convex integer quadratic programs,” Applied Mathematical Modeling, Vol. 32, pp. 224-231.

• HUA, Z, HUANG, F and ZHANG, B, “Process flexibility with bill of material constraints,” International Journal of Production Research, Vol. 46 No. 6, pp. 1567-1586.

• LIANG, L, WANG, G, HUA, Z and ZHANG, B, “Mapping verbal responses to numerical scales in the analytic hierarchy process,” Socio-Economic Planning Sciences, Vol. 42 No. 1, pp. 46-55.

• HUA, Z, ZHANG, B, YANG, J and TAN, D, “A new approach of forecasting intermittent demand for spare parts inventories in the process industries,” Journal of the Operational Research Society, Vol. 58 No. 1, pp. 52-61.

• HUA, Z, WANG, Y, XU, X, ZHANG, B and LIANG, L, “Predicting corporate financial distress based on integration of support vector machines and logistic regression,” Expert Systems with Applications, Vol. 33 No. 2, pp. 434-440.

• HUA, Z, ZHANG, B and LIANG, L, “An approximate dynamic programming approach to convex quadratic knapsack problems,” Computers & Operations Research, Vol. 33 No. 3, pp. 660-673.

• HUA, Z and ZHANG, B, “A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts,” Applied Mathematics and Computation, Vol. 181 No. 2, pp. 1035-1048.

• HUA, Z, YANG, J, COULIBALY, S and ZHANG, B, “Integration TRIZ with problem-solving tools: a literature review from 1995 to 2006,” International Journal of Business Innovation and Research, Vol. 1 No. ½, pp. 111-128.


Books & Essays:

• Chapter 16, Handbook of Newsvendor Problems, edited by Choi, TM, Springer. 2012

 

Research Projects:

• National Natural Science Foundation of China: Research on Purchasing Optimization and Game Based on Seasonal Demand Forecast Updating and Transshipping, Grant No.71672199, 2016-2020.

• Dual sourcing Optimization and Gaming in Supply Chain Management, NSFC Project  (Grant No. 71171206), 2012-present

• Options Contract Optimization and Gaming in Supply Chain Management, NSFC Project (Grant No. 70801065), 2009 -2011

• The Production of Low-carbon Environment, Decision-making and Research of Carbon Emissions Trading Scheme, Sun Yat-sen University Fundamental Research Project Nurture Youth Teachers (Grant No.: 110912), 2012.01-2014.12,