Cloud computing enables elasticity rapid provisioning and deprovisioning of computational resources. Elasticity allows cloud users to quickly adapt resource allocation to meet changes in their workloads. For cloud providers, elasticity complicates capacity management as the amount of resources that can be requested by users is unknown and can vary significantly over time. Overbooking techniques...

In the forty years since the first publication on overbooking control, passenger reservations systems have evolved from low level inventory control processes to major strategic information systems. Today, airlines and other transportation companies view revenue management systems and related information technologies as critical determinants of future success. Indeed, expectations of revenue gai...

This paper examines the combined use of predictive analytics, optimization, and overbooking to schedule outpatient appointments in the presence of no-shows. We tackle the problem of optimally overbooking appointments given no-show predictions that depend on the individual appointment characteristics and on the appointment day. The goal is maximizing the number of patients seen while minimizing ...

This study presents an optimization model that uses stochastic programming to optimally allocate seats and maximize the profit of airline, considering overbooking. Airline seat inventory control involves selling right people at time. If airline sells tickets on a first-come, first-serve basis, it is likely be occupied by leisure travelers late bookers. Therefore, business willing pay higher far...

Title of Dissertation: ROBUST REVENUE MANAGEMENT WITH LIMITED INFORMATION: THEORY AND EXPERIMENTS Yingjie Lan, Ph.D. candidate, 2008 Dissertation directed by: Professor Michael O. Ball R.H. Smith School of Business Revenue management (RM) problems with full probabilistic information are well studied. However, as RM practice spreads to new businesses and industries, there are more and more appli...

This paper presents a theoretical framework of advanced demand through six propositions. The framework introduces the concept of acquisition and valuation risks and suggests that advanced demand distribution is rooted in the trade off between them. Furthermore, since advanced buyers may not consume, firms may be able to resell capacity relinquished. The study then proposes how refunds could pro...