The Time-Band Approximation Model on Flight Operations Recovery Model Considering Random Flight Flying Time in China

Abstract

The time-band approximation model on flight operations recovery problems is constructed based on the time-band network, and the object of its' mathematical representation can capture approximated delay costs and cancellation costs. But the calculation of delay costs associated with the actual flying time in China, the actual flying time should not be a fixed time but a random time around the planned flying time. In this paper, we describe the approximated delay costs considering the random flying time around the planned flying time. Subsequently, we give out the time-band approximation model on flight operations recovery with the random flying time. Finally, we design a set of practical numerical experiments. The results demonstrate that the time-band approximation model on flight operations recovery with the random flying time may be more efficient than the timeband approximation model on flight operations recovery with the planned flying time.

Weighted Time-Band Approximation Model for Flight Operations Recovery considering Simplex Group Cycle Approaches in China

“…At the 2012 Informs meeting, we first proposed the simplex group cycle approach as a means of controlling the potential disruption scope [28]. The approximated delay costs considering the random flying time around the planned flying time is first introduced in the literature [29], and the time-band approximation model on flight operations recovery problems is constructed based on the time-band network and approximated delay costs.…”

“…At the 2012 Informs meeting, we first proposed the simplex group cycle approach as a means of controlling the potential disruption scope [28]. The approximated delay costs considering the random flying time around the planned flying time is first introduced in the literature [29], and the time-band approximation model on flight operations recovery problems is constructed based on the time-band network and approximated delay costs. Further, a series of numerical experiments show that the time-band approximation model on flight operations recovery with the random flying time may be more efficient than the time-band approximation model on flight operations recovery with the planned flying time.…”