A common technical challenge encountered in many operations management models is that decision variables are truncated by some random variables and the decisions are made before the values of these random variables are realized, leading to non-convex minimization problems. To address this challenge, we develop a powerful transformation technique which converts a non-convex minimization problem ...

Passenger behavior is the fundamental factor driving air transportation market reactions to the managerial decisions of airlines; therefore, it is important to understand passenger path choice process, and to develop a valid model to represent it. In this thesis, passenger disutilities are used to indicate passengers' sensitivity to alternative path options. Accordingly, passenger disutilities ...

We present a stochastic approximation method to compute bid prices in network revenue management problems. The key idea is to visualize the total expected revenue as a function of the bid prices and to use sample path-based derivatives to search for a good set of bid prices. We deal with the discrete nature of the network revenue management setting by formulating a smoothed version of the probl...

The approach presented in this article addresses the shortcomings of transaction-based revenue management and proposes a conceptual model of customer value-based revenue management to allow for both an efficient utilization of limited capacity resources and the establishment of profitable customer relationships. Furthermore, process models are developed for the operational tasks as well as resu...

This paper analyses the problem of sub-national revenue mobilization in Peru and proposes several policy reforms to improve collection performance while maintaining a sound revenue structure. We analyze the current revenues of regional and municipal governments and identify the main priorities of reform. Among the most important problems are the acute inequalities and inefficiencies associated ...