The airline revenue management problem can be decomposed into four distinct but related sub-problems that are usually treated separately: demand forecasting, overbooking, capacity allocation and pricing. Over the last decades, much interest has been devoted to the overbooking and capacity allocation issues and, today, most major airlines rely on computerized tools to deal with these two sub-pro...

Patient wait time and access to care have long been a recognized problem in modern outpatient healthcare delivery systems. Despite all the efforts to develop appointment rules and policies, the problem of long patient waits persists. Regardless of the reasons, the fact remains that there are few implemented models for effective scheduling that consider patient wait times, physician idle time, o...

We study the regulation of one-way station-based vehicle sharing systems through parking reservation policies. We measure the performance of these systems in terms of the total excess travel time of all users caused as a result of vehicle or parking space shortages. We devise mathematical programming based bounds on the total excess travel time of vehicle sharing systems under any passive regul...

Overbooking is a strategy of extra ticket reservation, which needs precise models concerning the probability of ticket acquisition. Without such models a company will have losses related to unused seats or compensation for the absence of these seats. In the paper we consider several models for such a forecast and demonstrate their functionality on real data of one Peruvian railway company. The ...

Nowadays cluster Grids encompass many cluster systems with possible thousands of nodes and processors, offering compute power that was inconceivable only a few years ago. For attracting commercial users to use these environments, the resource management systems (RMS) have to be able to negotiate on Service Level Agreements (SLAs), which are defining all service quality requirements of such a jo...

This paper presents an airline overbooking model at a class level for one service compartment±cabin. Class level demand data is used to determine the number of bookings that can be taken for each class. The model is optimised through the use of multi-dimensional search routines. The control level model developed is tested with data supplied by Ireland's national airline, Aer Lingus. The model s...