Predicting and planning airport acceptance rates in metroplex systems for improved traffic flow management decision support

A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions

“…The different data-driven methods for modeling air traffic flow networks had been observed along with the delay in propagation analysis (Baspinar et al, 2017). The prediction of airport acceptance rates for enhancing the airport planning to overcome traffic was found in previous studies (Murça and Hansman, 2018). The data-driven quality management was also seen in aircraft routing problems wherein different models were considered to make robust airline scheduling (Marla et al, 2018).…”

“…A framework based on data-driven to predict airport acceptance rates for enhancing the airport planning to overcome traffic was presented by Murça and Hansman (2018). The framework included interdependencies between the systems to improve system performance.…”

“…Logistics KPIs were used to analyze the performance of different clustering algorithms used in operations. Leung et al (2020) Input keywords Available papers "Data driven" AND "Quality" AND "Supply chain" 43 "Data driven" AND "Quality" AND "Logistics" 106 "Data driven" AND "Quality" AND "Transportation" 135 "Data driven" AND "Performance" AND "Supply chain" 94 "Data driven" AND "Performance" AND "Logistics" 290 "Data driven" AND "Performance" AND "Transportation" 389 Total 1,057 A framework based on data-driven to predict airport acceptance rates for enhancing the airport planning to overcome traffic was presented by Murça and Hansman (2018). The framework included interdependencies between the systems to improve system performance.…”

An Integer Linear Programming Formulation for Post-Departure Air Traffic Flow Management

“…Due to the uncertainty associated with the occurrence of inclement weather, airport managers are faced with the challenge of sufficiently creating decisions, with limited information, that shall handle imbalances between resource capacity and air traffic demand [31]. Weather conditions are considered as a key driver to airport capacity as it influences the selection of runway configurations and its throughput performance [32]. While changes in the air traffic management services, specifically in en-route services, have relatively less impact on airports, corresponding charges may be incurred to the airport management itself as well as a detriment on the competitiveness of an airport [29].…”

“…While changes in the air traffic management services, specifically in en-route services, have relatively less impact on airports, corresponding charges may be incurred to the airport management itself as well as a detriment on the competitiveness of an airport [29]. During real-time conditions involving disturbances in weather, the airport management controls arrival rates into an alternative area away from the constrained one by adding spacing at airspace fixes with the aid of reactionary measures coordinated with air traffic controllers [32]. In terms of collaboration among other stakeholders, while airports provide facilities for use in aircraft operations, an implementation of an ATFM policy may have a rippling effect on the entire transportation system.…”