As Sabre's new chief scientist, Barry Smith takes one part
artificial intelligence and one part operations research and
conjures up a formula that fills every seat for the highest
possible fare. Smith's formula eventually will let airlines
compete with buses for low fares. It'll also be smart enough to
hold a sufficient number of seats to meet the demand of travelers
willing to pay top dollar at the last minute.
Smith heads Sabre's Research Group, which carries out
proof-of-concept projects in optimization, forecasting, and
algorithms. The group is working on three initiatives for 20
Sabre customers: improving forecast accuracy, coordinating
multiple distribution channels, and improving integration of
yield-management with flight scheduling and operations. On the
cutting edge is research that combines artificial intelligence
and operations research. The goal is to produce systems that
search thousands of combinations to find the lowest fares for a
number of travel Web sites. Smith says the Research Group's efforts will include improvements
in forecasting, where as a general rule a 10% improvement
advances an airline's profitability between 0.5% and 1%. Another hot topic is "robust planning," which optimizes airline
schedules and efficiency. For the past 20 years, airlines have
used models that show the optimum deployment under normal
conditions to make flight schedules, Smith says. But travelers
know that when it comes to putting people in planes, plans often
go awry. "We're trying to figure out how to put some flexibility
back in airline schedules," he says, "and how to deal with
air-traffic-control problems, weather problems, and crews getting
sick without giving away a significant amount of revenue." Weary
travelers hope Smith will have some answers soon.
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