A Simulation Based Approach for Contingency Planning for Aircraft Turnaround Operation System Activities in Airline Hubs

Commercial aircraft undergo a significant number of maintenance and logistical activities during the turnaround operation at the departure gate. By analyzing the sequencing of these activities, more effective turnaround contingency plans may be developed for logistical and maintenance disruptions. Turnaround contingency plans are particularly important as any kind of delay in a hub based system may cascade into further delays with subsequent connections. The contingency sequencing of the maintenance and logistical turnaround activities were analyzed using a combined network and computer simulation modeling approach. Experimental analysis of both current and alternative policies provides a framework to aid in more effective tactical decision making

Simulation and optimization of a multi-agent system on physical internet enabled interconnected urban logistics.

An urban logistics system is composed of multiple agents, e.g., shippers, carriers, and distribution centers, etc., and multi-modal networks. The structure of Physical Internet (PI) transportation network is different from current logistics practices, and simulation can effectively model a series of PI-approach scenarios. In addition to the baseline model, three more scenarios are enacted based on different characteristics: shared trucks, shared hubs, and shared flows with other less-than-truckload shipments passing through the urban area. Five performance measures, i.e., truck distance per container, mean truck time per container, lead time, CO2 emissions, and transport mean fill rate, are included in the proposed procedures using real data in an urban logistics case. The results show that PI enables a significant improvement of urban transportation efficiency and sustainability. Specifically, truck time per container reduces 26 percent from that of the Private Direct scenario. A 42 percent reduction of CO2 emissions is made from the current logistics practice. The fill rate of truckload is increased by almost 33 percent, whereas the relevant longer distance per container and the lead time has been increased by an acceptable range. Next, the dissertation applies an auction mechanism in the PI network. Within the auction-based transportation planning approach, a model is developed to match the requests and the transport services in transport marketplaces and maximize the carriers’ revenue. In such transportation planning under the protocol of PI, it is a critical system design problem for decision makers to understand how various parameters through interactions affect this multi-agent system. This study provides a comprehensive three-layer structure model, i.e. agent-based simulation, auction mechanism, and optimization via simulation. In term of simulation, a multi-agent model simulates a complex PI transportation network in the context of sharing economy. Then, an auction mechanism structure is developed to demonstrate a transport selection scheme. With regard of an optimization via simulation approach and sensitivity analysis, it has been provided with insights on effects of combination of decision variables (i.e. truck number and truck capacity) and parameters settings, where results can be drawn by using a case study in an urban freight transportation network. In the end, conclusions and discussions of the studies have been summarized. Additionally, some relevant areas are required for further elaborate research, e.g., operational research on airport gate assignment problems and the simulation modelling of air cargo transportation networks. Due to the complexity of integration with models, I relegate those for future independent research

Journal of Air Transportation, Volume 11, No. 2

The following topics were covered: How Do Airlines Perceive That Strategic Alliances Affect Their Individual Branding?; Airline Choice for Domestic Flights in Sao Paulo Metropolitan Area: An Application of the Conditional Logit Model; Consequences of Feeder Delays for the Success of A380 Operations; Inside the Mechanics of Network Development: How Competition and Strategy Reorganize European Air Traffic; The Opportunities and Threats of Turning Airports into Hubs; Another Approach to Enhance Airline Safety: Using System Safety Tools; A Simulation Based Approach for Contingency Planning for Aircraft Turnaround Activities in Airline Hubs; and The Council on Aviation Accreditation: Part One- Historical Foundation

Future Transportation

Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others

Carbon dioxide life cycle assessment on urban air mobility in context of emergency medical service

This thesis presents the development of life cycle assessment framework, which includes a series of conceptual models, to evaluate the end-to-end environmental impacts of Urban Air Mobility (UAM) systems, with a specific focus on their application in Emergency Medical Services (EMS) scenarios. The LCA study examines two types of UAM technologies: drones for the delivery of medical supplies and medium-sized electric Vertical Take-off and Landing (eVTOL) aircraft for the transport of medical personnel or patients. The proposed LCA assessment framework incorporates sensitivity analysis modules to account for the uncertainties prevalent in the respective domains. The carbon dioxide emissions in the UAM ecosystem are largely due to the construction and operation of supporting ground infrastructure, as well as the production and operation of unmanned aerial systems, as underscored by this thesis. The analysis reveals that motor production generates the highest environmental impact, while battery-related impacts are uncertain and influenced by flight frequency. Additionally, the study emphasizes the importance of local grid intensity and weather conditions in determining the overall emissions associated with UAM operations. As UAM technologies continue to mature, it is advocated that additional scenario-based and network-level evaluations be carried out. The developed framework in this thesis holds potential for enhancement through improvements in data quality, thereby contributing to a more robust understanding of the environmental implications of UAM in EMS contexts

1995 BRAC Commission

Reuse Hearings 03/23/95, China Lake NWC, Kirtland AFB, Portsmouth. Box 71, IA-007

Airport master plan update: Manchester- Boston regional airport, Manchester, New Hampshire

Draft appendices to the update for the Manchester-Boston Regional Airport master plan, assessing zoning area, flight and terminal data

Development of air transportation evaluation processes, volume 2

For abstract, see N76-17078

WPI Journal, Spring 2017

Published quarterly by Worcester Polytechnic Institute (WPI) in conjunction with the WPI Alumni Association.https://digitalcommons.wpi.edu/wpijournal-all/1057/thumbnail.jp