基本情况

张斌,中山大学岭南学院物流工程与管理系教授、副系主任。

 

研究领域

物流与供应链管理、收益管理、零售管理

 

教育背景

20029月至20081月  管理学博士,中国科学技术大学管理科学与工程专业
1998
9月至20027月  管理学学士、工学()学士,中国科学技术大学信息管理与信息系统专业

工作经历

20096月  副教授、副系主任,中山大学岭南学院物流工程与管理系
2009
5月  讲师,中山大学岭南学院物流工程与管理系

 

论文发表


  1. Multi-tier binary solution method for multi-product newsvendor problem with multiple constraints, European Journal of Operational Research, 2011, forthcoming. (SCI)
  2. Simple solution methods for separable mixed linear and quadratic knapsack problem. Applied Mathematical Modelling, 2011, forthcoming. (with Z Hua) (SCI) 
  3. Capacity-constrained multiple-market price discrimination. Computers & Operations Research, 2012, 39, 105–111. (SCI)
  4. Optimal policy for a mixed production system with multiple OEM and OBM products. International Journal of Production Economics, 2011, 130, 27-32. (SCI&SSCI)
  5. Heuristic and exact solution method for convex nonlinear knapsack problem. Asia-Pacific Journal of Operational Research, 2011, forthcoming. (with B Chen) (SCI)
  6. Optimal policy and simple algorithm for a deteriorated multi-item EOQ problem. American Journal of Operations Research, 2011, 1(2), 46-50. (with X Wang)
  7. A portfolio approach to multi-product newsboy problem with budget constraint. Computers & Industrial Engineering, 2010, 58, 759-765. (with Z Hua) (SCI&SSCI)
  8. Combined trust model based on evidence theory in iterated prisoner's dilemma game. International Journal of Systems Science, 2011, 42(1), 63–80. (with B Chen, W Zhu) (SCI&SSCI)
  9. Multi-product newsboy problem with limited capacity and outsourcing.European Journal of Operational Research, 2010, 202:107-113. (with S Du) (SCI)
  10. A binary solution method for the multi-product newsboy problem with budget constraint. International Journal of Production Economics, 2009, 117, 136-141. (with X Xu, Z Hua) (SCI&SSCI)
  11. A unified method for a class of convex separable nonlinear knapsack problem. European Journal of Operational Research, 2008, 191, 1-6. (with Z Hua) (SCI)
  12. Improving density forecast by modeling asymmetric features: an application to S&P500 returns. European Journal of Operational Research, 2008, 185(2), 716-725. (with Z Hua) (SCI&SSCI)
  13. A new approach of forecasting intermittent demand for spare parts inventories in the process industries. Journal of the Operational Research Society, 2007, 58(1), 52-61. (with Z Hua, J Yang, D Tan) (SCI&SSCI)
  14. An approximate dynamic programming approach to convex quadratic knapsack problems. Computers & Operations Research, 2006, 33(3), 660-673. (with Z Hua, L Liang) (SCI)
  15. A new variable reduction condition for bounded convex integer quadratic programs. Applied Mathematical Modelling, 2008, 32, 224-231. (with Z Hua,X Xu) (SCI)
  16. A hybrid support vector machines and logistic regression approach for forcasting intermittent demand of spare parts. Applied Mathematics and Computation, 2006, 181(2), 1035-1048. (with Z Hua) (SCI)
  17. Heuristics to convex quadratic knapsack problems in sorted ADP. ICIC2006,Springer-VerlagBerlinHeidelberg, Lecture Notes in Computer Science, 2006, 4113, 907-912. (with Z Hua) (SCI)
  18. Process flexibility with bill of material constraints. International Journal of Production Research, 2008, 46(6), 1567-1586. (with Z Hua, F Huang) (SCI&SSCI)
  19. Predicting corporate financial distress based on integration of support vector machines and logistic regression. Expert Systems with Applications, 2007, 33(2), 434-440. (with Z Hua, Y Wang, X Xu, L Liang) (SCI)
  20. Nonparametric demand forecasting with right censored observation. Journal of Software Engineering and Applications, 2009, 2, 259-266. (with Z Hua)
  21. Mapping verbal responses to numerical scales in the analytic hierarchy process. Socio-Economic Planning Sciences, 2008, 42(1), 46-55. (with L Liang, G Wang, Z Hua)
  22. Integration TRIZ with problem-solving tools: a literature review from 1995 to 2006. International Journal of Business Innovation and Research, 2006, 1(1/2), 111-128. (with Z Hua, J Yang, S Coulibaly)
  23. Quasi-bootstrap procedure for forecasting demand from sales data with stockouts. Proceedings of the 38th International Conference on Computers and Industrial Engineering, 2008, 1-3, 423-429. (withW Zhang, Z Hua) (ISTP)