代表性学术成果 |
[1]Zhang, Y., Hua, G., Cheng, T. C. E., Zhang, J., & Fernandez, V. (2019). Risk pooling through physical probabilistic selling.https://doi.org/10.1016/j.ijpe.2019.04.014.(SCI, JCR Q2) [2]Zhang, Y., Hua, G., Wang, S., Zhang, J., & Fernandez, V. (2018). Managing demand uncertainty: Probabilistic selling versus inventory substitution.International Journal of Production Economics. 196,56-67. (SCI, JCR Q2) [3]Zhang, Y., Huang, A. Q., Cheng, T.C.E., Wang, S. Y., & Fernandez, V. (2016). Simulating the demand reshaping and substitution effects of probabilistic selling.International Journal of Simulation Modelling (IJSIMM), 15(4). (SCI, JCR Q3) [4]Zhang, Y., Hua, G., Cheng, T. C. E., & Zhang, J. (2018). Cold chain distribution: How to deal with node and arc time windows?Annals of Operations Research,https://doi.org/10.1007/s10479-018-3071-0.(SCI, JCR Q3) [5]Zhang, Y., & Chen, X. D. (2014). An optimization model for the vehicle routing problem in multi-product frozen food delivery.Journal of Applied Research and Technology, 12(2), 239-250. (SCI,JCRQ4) [6]Hua, G. W., Cheng, T.C.E.,Zhang, Y., Zhang, J. L., & Wang, S. Y. (2016). Carbon-constrained perishable inventory management with freshness-dependent demand.International Journal of Simulation Modelling (IJSIMM), 15(3). (SCI, JCR Q3) [7]Cheng, Y., Mu, D., &Zhang, Y.(2017). Mixed carbon policies based on cooperation of carbon emission reduction in supply chain.Discrete Dynamics in Nature and Society. (SCI,JCRQ4) [8]Zhang, Y., Chen, X., & Liu, W. (2015). The distribution routing optimization for frozen products with time window constraints.In LISS 2013(pp. 383-389). Springer, Berlin, Heidelberg. (Conference Paper) |
