This study introduces a novel methodology for the post-analysis of operational predictability by leveraging timestamps collected through the Airport Collaborative Decision Making (A-CDM) framework. Focusing on the start-up and departure phases, the analysis highlights the importance of accurately planning and managing key timestamps, such as the Target Off-Block Time (TOBT) and Target Start-Up Approval Time (TSAT), which are critical for operational efficiency. Using one week of sample data from Schiphol Airport, this research demonstrates the potential benefits of the proposed framework in improving predictability during the start-up phase, particularly by identifying and analyzing outliers and anomalies. The start-up phase, a critical component of the outbound process, was broken down into subphases to allow for a more detailed assessment. The findings suggest that while 96% of flights maintain TOBT accuracy within ±20 minutes, 68% of flights miss their TOBT by 2 to 17.5 minutes, with 364 notable outliers. These deviations highlight areas for further investigation, with future work aiming to explore the impact of influencing factors such as weather, resource availability, and support tools. The proposed framework serves as a foundation for improving operational predictability and efficiency at airports.
DOCUMENT
Droop control is used for power management in DC grids. Based on the level of the DC grid voltage, the amount of power regulated to or from the appliance is regulated such, that power management is possible. The Universal 4 Leg is a laboratory setup for studying the functionality of a grid manager for power management. It has four independent outputs that can be regulated with pulse width modulation to control the power flow between the DC grid and for example, a rechargeable battery, solar panel or any passive load like lighting or heating.
DOCUMENT
This research investigates the impact of early facility management involvement on the effective utilization of building information modelling during the operation and maintenance phase. It looks at understanding the factors that encourage building owners to prioritize early facility manager engagement. This research also examined the role of facility managers when involved early in the process, including the stage in which FM should be involved, the additional knowledge and competencies to add value, the main tasks to perform and what barriers should be overcome to involve FM early. Lastly, this research defines the potential added value that early engagement has on the use of BIM in the operational phase. Recognizing that facility managers bear the ultimate responsibility for building management, this study explores how their early engagement can ensure BIM model align with operational needs, maximizing the technology’s benefits throughout a building’s lifespan. By examining the impact of early FM input, this research aims to provide actionable insights for facility managers to contribute to the BIM development process.
MULTIFILE
