Journal Articles

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Under Review

Feng, W., Feng, Y., & Zhang, Q. Multistage robust mixed-integer optimization under endogenous uncertainty. [preprint]

Allman, A. & Zhang, Q. Branch-and-price for a class of nonconvex mixed-integer nonlinear programs. [preprint]

Allman, A. & Zhang, Q. Dynamic location and relocation of modular manufacturing facilities. [preprint]


19. Allman, A. & Zhang, Q. (2020). Distributed cooperative industrial demand response. Journal of Process Control, 86, 81-93. [preprint] [link]


18. Ardagh, M. A., Birol, T., Zhang, Q., Abdelrahman, O. A., & Dauenhauer, P. J. (2019). Catalytic resonance theory: superVolcanoes, catalytic molecular pumps, and oscillatory steady state. Catalysis Science & Technology, 9, 5058-5076. [link]

17. Flores-Quiroz, A., Pinto, J. M., & Zhang, Q. (2019). A column generation approach to multiscale capacity planning for power-intensive process networks. Optimization & Engineering, 20(4), 1001-1027. Invited article for Special Issue: Enterprise-wide Optimization. [preprint] [link]

Prior to Joining the University of Minnesota

16. Zhang, Q., Martín, M., & Grossmann, I. E. (2019). Integrated design and operation of renewables-based fuels and power production networks. Computers & Chemical Engineering, 122, 80-92. [link]

15. Zhang, Q., Bremen, A. M., Grossmann, I. E., & Pinto, J. M. (2018). Long-term electricity procurement for large industrial consumers under uncertainty. Industrial & Engineering Chemistry Research, 57, 3333-3347. [link]

14. Castro, P. M., Grossmann, I. E., & Zhang, Q. (2018). Expanding scope and computational challenges in process scheduling. Computers & Chemical Engineering, 114, 14-42. [link]

13. Luo, Y., Zhang, Q., Zhu, L., & Chen, X. (2018). Optimal operation of parallel distillation systems with multiple product grades: An industrial case study. Computers & Chemical Engineering, 111, 210-224. [link]

12. Curcio, E., Amorim, P., Zhang, Q., & Almada-Lobo, B. (2018). Adaptation and approximate strategies for solving the lot-sizing and scheduling problem under multistage demand uncertainty. International Journal of Production Economics, 202, 81-96. [link]

11. Grossmann, I. E., Apap, R. M., Calfa, B. A., Garcia-Herreros, P., & Zhang, Q. (2017). Mathematical programming techniques for optimization under uncertainty and their application in process systems engineering. Theoretical Foundations of Chemical Engineering, 51(6), 893-909. [link]

10. Zhang, Q., Sundaramoorthy, A., Grossmann, I. E., & Pinto, J. M. (2017). Multiscale production routing in multicommodity supply chains with complex production facilities. Computers & Operations Research, 79, 207-222. [link]

9. Zhang, Q. & Grossmann, I. E. (2016). Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives. Chemical Engineering Research & Design, 116, 114-131. Invited article for Roger Sargent Special Issue. [link]

8. Zhang, Q., Lima, R. M., & Grossmann, I. E. (2016). On the relation between flexibility analysis and robust optimization for linear systems. AIChE Journal, 62(9), 3109-3123. Invited article for Tribute to Founders: Roger Sargent. [link]

7. Grossmann, I. E., Apap, R. M., Calfa, B. A., Garcia-Herreros, P., & Zhang, Q. (2016). Recent advances in mathematical programming techniques for the optimization of process systems under uncertainty. Computers & Chemical Engineering, 91, 3-14. [link]

6. Zhang, Q., Morari, M. F., Grossmann, I. E., Sundaramoorthy, A., & Pinto, J. M. (2016). An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load. Computers & Chemical Engineering, 86, 106-119. [link]

5. Zhang, Q., Cremer, J. L., Grossmann, I. E., Sundaramoorthy, A., & Pinto, J. M. (2016). Risk-based integrated production scheduling and electricity procurement for power-intensive continuous processes. Computers & Chemical Engineering, 86, 90-105. [link]

4. Zhang, Q., Sundaramoorthy, A., Grossmann, I. E., & Pinto, J. M. (2016). A discrete-time scheduling model for continuous power-intensive process networks with various power contracts. Computers & Chemical Engineering, 84, 382-393. [link]

3. Zhang, Q., Grossmann, I. E., Sundaramoorthy, A., & Pinto, J. M. (2016). Data-driven construction of Convex Region Surrogate models. Optimization & Engineering, 17(2), 289-332. [link]

2. Zhang, Q., Grossmann, I. E., Heuberger, C. F., Sundaramoorthy, A., & Pinto, J. M. (2015). Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets. AIChE Journal, 61(5), 1547-1558. [link]

1. Zhang, Q., Shah, N., Wassick, J., Helling, R., & Van Egerschot, P. (2014). Sustainable supply chain optimisation: An industrial case study. Computers & Industrial Engineering, 74, 68-83. [link]