Overbooking and fare-class allocation are two central problems in revenue management. In this paper, we propose a distribution-free approach for coordinating these two sets of decisions for a single resource. The only information we use are upper and lower bounds of demand of each fare-class and...

In this paper, we consider the revenue management problem from the perspective of online algorithms. This approach eliminates the need for both demand forecasts and a risk neutrality assumption. The competitive ratio of a policy relative to a given input sequence is the ratio of the policy's...

This paper presents ration-by-distance (RBD), a new allocation method to be used in planning ground delay programs (GDPs) for Traffic Flow Management. It is shown that RBD minimizes total expected delay, under certain assumptions related to the manner in which GDP's are dynamically controlled....

In this paper we provide an analytic model for order promising for available-to-promise (ATP) in an assemble-to-order production environment. A distinguishing feature of our model is its inclusion of pseudo orders, which are unconfirmed customer orders, whose quantity level is uncertain. Our...

In this paper, we develop a model for estimating flight departure delay distributions required by air traffic congestion prediction models. We identify and study major factors influencing flight departure delays, and develop a strategic departure delay prediction model. This model employs...

In this paper we analyze certain matching problems that arise in ground delay program planning. Ground delay programs are air traffic flow management initiatives put in place when airport arrival demand is expected to exceed arrival capacity for an extended length of time, e.g. 4 hours. Most of...