Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

作者: Bhakti Stephan Onggo

DOI: 10.1109/WSC.2017.8248218

关键词: Disruption managementControl (management)ScheduleFidelitySymbiotic simulationComputer scienceRisk analysis (engineering)Event (computing)

摘要: The airlines industry is prone to disruption due various causes. Whilst an airline may not be able control the causes of disruption, it can reduce impact a disruptive event, such as mechanical failure, with its response by revising schedule. Potential actions include swapping aircraft, delaying flights and cancellations. This poster will present our research into how symbiotic simulation could potentially used improve event evaluating potential revised schedules. Due large solution space, exhaustive searches are infeasible. Our investigating use multi-fidelity models help guide search optimisation algorithm, leading good solutions being generated within time constraints management. latest results research.

参考文章(1)
Vinh-An Vu, Giho Park, Gary Tan, Symbiotic Simulation for the Generation and Simulation of Incident Management Strategies Communications in Computer and Information Science. pp. 397- 402 ,(2013) , 10.1007/978-3-642-45037-2_41