| dc.description.abstract | In general, there are two approaches of airport common-use counter assignments, namely fixed and variable number of counter assignments. The latter is more efficient than the former in terms of counter utilization. In general, when the normal operations of airport common-use counters are affected by incidents, the airport staffs usually have to reassign some departure flights to some common-use counters in real-time, in order to keep on its operations. When such reassignments are improperly preformed, it would result in increased cost on the users or decreased level of service of the airport. Therefore, it is important for airport authorities to efficiently and effectively reassign flights to common-use counters in real-time following airport incidents, in order to maintain the airport levels of service and to reduce the user cost.
In the past, there has none systematic analysis or research to the reassignment of flights to common-use counters following incidences in real-time. The reassignment in practice is manually performed, which is both inefficient and ineffective, especially when the problem scale is enlarged today. In the literature, only one research about real-time reassignment of fixed common-use counters following airport incidents, none of a systematic optimization approach to the assignment of variable number of common-use counters following airport incidents. Hence, this research considers the objective of minimizing total inconsistency of flights to common-use counters, coupled with related operating constraints, to develop two models in order to help the airport authority solve for proper reassignments of flights to common-use counters with variables number in real-time following incidents. Due to many complicated factors that have to be considered, the problem size of the model is expected to be huge in practice, making the model difficult to optimally solve. Therefore, we develop a heuristic method to solve the model by using the mathematical programming solver, CPLEX. To test how well the proposed model may be applied in real world, we perform a case study concerning the operations of two major airports in Taiwan. The results show the model could be useful. | en_US |