Many industries use revenue management to balance uncertain, stochastic demand and
inflexible capacity. Popular examples include airlines, hotels, car rentals, retailing, and …

We study robust formulations of assortment optimization problems under the multinomial
logit choice model. The novel aspect of our formulations is that the true parameters of the …

Demand unconstraining is one of the key techniques to the success of revenue
management systems. This paper surveys the history of research on unconstraining …

The liner shipping industry plays a pivotal role in global cargo transportation, catering to
both contract and spot shippers. Proper capacity allocation between these shippers is vital …

Purpose The static world of flight scheduling where schedules rarely change once published
is becoming more responsive with schedule change updates leading up to the departure …

Revenue management models traditionally assume that future demand is unknown but can
be described by a stochastic process or a probability distribution. Demand is, however, often …

In this paper, we consider the classical multifare, single-resource (leg) problem in revenue
management for the case where demand information is limited. Our approach employs a …

After a 2-year stint at Rutgers University as a faculty member, I moved to Dallas/Fort Worth to
start a new career as an Operations Research (OR) analyst at American Airlines (AA) in …

The novel coronavirus pandemic has had a seismic impact on the travel industry. With a
steep drop in customer demand and the inability of airlines to forecast demand for flights …

Airline revenue management is concerned with identifying the maximum revenue seat
allocation policies. Because a major loss in revenue results from cancellations and no …