Schedule planning involves designing future aircraft
and crew schedules to maximize airline profitability.
This problem poses daunting challenges because
it is characterized by numerous complexities, including
a network of flights, differing aircraft types, gate,
airport slot and air traffic control restrictions, noise
curfews, maintenance requirements, crew work rules,
and competitive, dynamic environments in which
passenger demands are uncertain and pricing strategies
are complex. Not surprisingly, no single optimization
model has been solved, or even formulated,
to address this complex design task in its entirety.
The problem’s unmanageable size and complexity
has resulted in the decomposition of the overall
problem into a set of subproblems, often defined as
follows:
Schedule planning involves designing future aircraftand crew schedules to maximize airline profitability.This problem poses daunting challenges becauseit is characterized by numerous complexities, includinga network of flights, differing aircraft types, gate,airport slot and air traffic control restrictions, noisecurfews, maintenance requirements, crew work rules,and competitive, dynamic environments in whichpassenger demands are uncertain and pricing strategiesare complex. Not surprisingly, no single optimizationmodel has been solved, or even formulated,to address this complex design task in its entirety.The problem’s unmanageable size and complexityhas resulted in the decomposition of the overallproblem into a set of subproblems, often defined asfollows:
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