Navigation auf uzh.ch
Navigation auf uzh.ch
Our main area of research is in the field of stochastic dynamic optimization, that is the optimal choice of decisions within dynamic systems. A special emphasis is the optimization of large systems. If the state space is large, the so-called "curse of dimensionality" prevents their solution via traditional methods for Markov decision processes. We investigate approximate methods for such cases. We apply techniques derived from Approximate Dynamic Programming to diverse problem domains, including but not limited to revenue management, healthcare, production, and services.
As a member of the EURO Working Group for Pricing and Revenue Management, our department strives to foster connections between researchers, practitioners, and users.
Barz, C. and M. Glanzer (2022). Approximate Dynamic Programming: Linear Programming-Based Approaches.
Barz, C. and S. Laumer (2022). Efficient Compact Linear Programs for Network Revenue Management. Optimization Letter.
Efficient compact linear programs for network revenue management
Barz, C., S. Laumer, M. Freyschmidt and J. Martínez-Blanco (2021). Discrete dynamic pricing and application of network revenue management for FlixBus.
Journal of Revenue and Pricing Management
Barz, C. and D. Gartner (2016). Network Air Cargo Revenue Management. Transportation Science, Vol. 50 (4), pp. 1206-1222.
Barz, C. and K. Rajaram (2015). Elective Patient Admission and Scheduling under Multiple Resource Constraints. Production and Operations Management, Vol. 24 (12), pp. 1907-1930.
Adelman, D. and C. Barz (2014). A Price-Directed Heuristic for the Economic Lot Scheduling Problem. IIE Transactions, Vol. 46, pp. 1343-1356.
Adelman, D. and C. Barz (2014). A Unifying Approximate Dynamic Programming Model for the Economic Lot Scheduling Problem. Mathematics of Operations Research, Vol. 39 (2), pp. 374-402.
Barz, C. and R. Kolisch (2014). Hierarchical Multi-Skill Resource Assignment in the Telecommunications Industry. Production and Operations Management, Vol. 23 (3), pp. 489-503.
Barz, C. and A. Müller (2012). Comparison and Bounds for Functions of Future Lifetimes Consistent with Mortality Tables. Insurance: Mathematics and Economics, Vol. 50, pp. 229-235.
Barz, C. and A. Müller (2012). A Tilting Algorithm for the Estimation of Fractional Age Survival Probabilities. Lifetime Data Analysis, Vol. 18, pp. 234-246, 2012.
Barz, C. and K.H. Waldmann (2007). Risk-Sensitive Capacity Control in Revenue Management. Mathematical Methods of Operations Research, Vol. 65, pp. 565-579.
