KLM has revealed the plan to downsize the full-freight cargo fleet in Schiphol Airport, for that reason the company requires to explore the consequences of moving the cargo transported by the full freighters into the bellies of the passenger flights. In this study, the authors analyze the implications of this decision by considering the variability of the load factors and the impact that replacing old aircraft might have. The study addresses how the transition towards the belly operation should impact the current operation of KLM at Schiphol. Our study shows that the replacement of old aircraft with new 787s and 777s will have significant effect on the cargo capacity of the company. The results rise the discussion on future problems to be faced and how to make the transition from full freighter to belly operation.
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KLM has revealed the plan to downsize the full-freight cargo fleet in Schiphol Airport, for that reason the company requires to explore the consequences of moving the cargo transported by the full freighters into the bellies of the passenger flights. In this study, the authors analyze the implications of this decision by considering the variability of the load factors and the impact that replacing old aircraft might have. The study addresses how the transition towards the belly operation should impact the current operation of KLM at Schiphol. Our study show that the replacement of old aircraft with new 787s and 777s will have significant effect on the cargo capacity of the company. The results rise the discussion on future problems to be faced and how to make the transition from full freighter to belly operation.
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KLM is downsizing the full-freight cargo fleet in Schiphol Airport, for that reason it is important for the company and the airport to explore the consequences of moving the cargo transported by the full freighters into the bellies of the passenger flights. The consequences of this action in terms of capacity and requirements are still unknown. The current study illustrates how to analyse the uncertainty present in the system for identifying the limitations and potential consequences of the reduction of full freighter fleet. The options we identify for coping with the current demand is by adjusting their load factors or increase the number of flights. The current model includes the airside operation of the airport, the truck movements and the traffic that arrives at Schiphol which allows addressing the impact of uncertainties of the operation as well as the limitations and potential problems of the phasing-out action.
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Recently KLM has revealed the plan to downsize the full-freight cargo fleet in Schiphol Airport, for that reason it is important for the company and the airport to explore the consequences of moving the cargo transported by the full freighters into the bellies of the passenger flights. The consequences of this action in terms of capacity and requirements are still unknown for the stakeholders. The current study illustrates that once the freighters are phased out, the commercial traffic needs to adjust mainly their load factors in order to absorb the cargo that was previously transported by the full freighters. The current model is a version that includes the airside operation of the airport and also the vehicle movement which allows addressing the uncertainties of the operation as well as the limitations and potential problems of the phasing-out action.
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Deze publicatie presenteert de resultaten van het Smartest Connected Cargo Airport Schiphol (SCCAS)-project: een tweejarig onderzoek naar logistieke innovaties die de concurrentiepositie van Schiphol op de luchtvrachtketen versterken. In dit project hebben KLM Cargo, Schiphol Nederland, Cargonaut, TU Delft en Hogeschool van Amsterdam samen met diverse partijen in de luchtvrachtketen nieuwe inzichten ontwikkeld om het afhandelingsproces op Schiphol te stroomlijnen en de productkwaliteit in temperatuurgevoelige ketens zoals bloemen en farma beter te beheersen.In Europa heeft Schiphol een sterke positie: het is de derde vrachtluchthaven na Frankfurt en Parijs. Door de beperking van het aantal beschikbare slots op Schiphol krijgen andere luchthavens zoals Brussel, Luik en Luxemburg de kans om extra lading aan te trekken. Het is daarom de ambitie van Schiphol zich te ontwikkelen tot de Europese voorkeursluchthaven voor logistiek hoogwaardige goederenstromen zoals e-commerce, farmaceutische producten en bloemen, en zich te onderscheiden door een efficiënt en betrouwbaar afhandelingsproces. Om die positie te bereiken zet Schiphol in op vier concrete innovatiedoelstellingen:- verbetering van transparantie in de keten door het delen van informatie;- inzicht in logistieke prestaties op basis van volledige en betrouwbare data over zendingen;- efficiënte en betrouwbare aan- en afvoer van luchtvrachtzendingen (landside pickup & delivery);- procesverbeteringen in de supply chains van temperatuurgevoelige producten.
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The relentless growth in Mexico City’s aviation traffic has inevitably strained capacity development of its airport, raising thedilemma between the possible solutions. In the present study, Mexico’s Multi-Airport System is subjected to analysis by meansof multi-model simulation, focusing on the capacity-demand problem of the system. The methodology combines phases ofmodelling, data collection, simulation, experimental design, and analysis. Drawing a distinction from previous works involvingtwo-airport systems. It also explores the challenges raised by the Covid-19 pandemic in Mexico City airport operations, with adiscrete-event simulation model of a multi-airport system composed by three airports (MEX, TLC, and the new airport NLU).The study is including the latest data of flights, infrastructures, and layout collected in 2021. Therefore, the paper aims toanswer to the question of whether the system will be able to cope with the expected demand in a short-, medium-, and longtermby simulating three future scenarios based on aviation forecasts. The study reveals potential limitations of the system astime evolves and the feasibility of a joint operation to absorb the demand in such a big region like Mexico City.
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The rapidly evolving aviation environment, driven by the Fourth Industrial Revolution, encompasses smart operations, communication technology, and automation. Airports are increasingly developing new autonomous innovation strategies to meet sustainability goals and address future challenges, such as shifting labor markets, working conditions, and digitalization (ACI World, 2019). This paper explores high-level governance strategies, a benchmarking study, that facilitates this transition. It aims to identify the key characteristics and features of the benchmarking study applicable to the development of autonomous airside operations. It also examines areas for improvement in operations, focusing on Key Performance Areas (KPAs) and strategic objectives related to airside automation. The findings highlight several essential performance areas and formulate it to a tailored benchmarking study that airports or aviation stakeholders can adopt to develop automation in airside operations. These criteria and features are summarized into a benchmarking framework that reflects strategy objectives. This paper contributes a valuable benchmarking methodology, supporting the growing global aviation demand for improvements toward more sustainable and smart autonomous airside operations. This outcome motivates aviation stakeholders to innovate to meet environmental and social sustainability goals.
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This research aims to find relevant evidence on whether there is a link between air capacity management (ACM) optimization and airline operations, also considering the airline business model perspective. The selected research strategy includes a case study based on Paris Charles de Gaulle Airport to measure the impact of ACM optimization variables on airline operations. For the analysis we use historical data which allows us to evaluate to what extent the new schedule obtained from the optimized scenario disrupts airline planned operations. The results of this study indicate that ACM optimization has a substantial impact on airline operations. Moreover, the airlines were categorized according to their business model, so that the results of this study revealed which category was the most affected. In detail, this study revealed that, on the one hand, Full-Service Cost Carriers (FSCCs) were the most impacted and the presented ACM optimization variables had a severe impact on slot allocation (approximately 50% of slots lost), fuel burn accounted as extra flight time in the airspace (approximately 12 min per aircraft) and disrupted operations (approximately between 31% and 39% of the preferred assigned runways were changed). On the other hand, the comparison shows that the implementation of an optimization model for managing the airport capacity, leads to a more balanced usage of runways and saves between 7% and 8% of taxi time (which decreases fuel emission).
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