• J.A. Paul, M. Zhang, M. Yang, and C. Xu. Improving Disaster Relief Plans for Hurricanes with Social Media. Journal of the Operational Research Society, 2023. (link)

  • W. Li,  M. Zhang, and A. Sharma. Crash Frequency Minimization with Severity Mitigation in Road Geometric Design Using Chance Constraint Programming Optimization. Journal of Advanced Transportation, 2023. (link)

  • J.A. Paul and M. Zhang. Decision Support Model for Cybersecurity Risk Planning: A Two-stage Stochastic Programming Framework Featuring Firms, Government, and Attacker. European Journal of Operational Research, 291(1), 349-364, 2021. (link)
  • M. Zhao and M. Zhang. Multiechelon Lot Sizing: New Complexities and Inequalities. Operations Research, 68(2), 534-551, 2020. (link)
  • P. Damcı-Kurt, M. Zhang, B. Marentay, and N. Govind. Improving Physician Schedules by Leveraging Equalization: Cases from Hospitals in U.S. Omega, 85, 182-193, 2019. (link)
  • J.A. Paul and M. Zhang. Supply Location and Transportation Planning for Hurricanes: A Two-stage Stochastic Programming Framework. European Journal of Operational Research, 274(1), 108-125, 2019. (link)
  • M. Zhang. Capacitated Lot-Sizing Problem with Outsourcing. Operations Research Letters, 43(5), 479-483, 2015. (link)
  • Y. Song and M. Zhang. Chance-Constrained Multi-Terminal Network Design Problems. Naval Research Logistics, 62(4), 321-334, 2015. (link)
  • M. Zhang and S. Kucukyavuz. Finitely Convergent Decomposition Algorithms for Two-Stage Stochastic Pure Integer Programs. SIAM Journal on Optimization, 24(4), 1933-1951, 2014. (link)
  • M. Zhang, S. Kucukyavuz, and S. Goel. A Branch-and-Cut Method for Dynamic Decision Making under Joint Chance Constraints. Management Science, 60(5), 1317-1333, 2014. (link)
  • M. Zhang, S. Kucukyavuz, and H. Yaman. A Polyhedral Study of Multiechelon Lot Sizing with Intermediate Demands. Operations Research, 60(4), 918-935, 2012. (link)