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
Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. Our motivation stems from the need for aviation organisations to develop decision support systems for operational aviation settings, able to feed-in in the organisations’ fatigue risk management efforts. Key criteria to this end are the need for the least possible intrusiveness and the added information value for a safety system. Departing from the problems in compliance-focused fatigue risk management and the intrusive nature of clinical studies, we report a neuroscientific methodology able to yield markers that can be easily integrated in a decision support system at the operational level. Reporting the preliminary phase of our live project, we evaluate the tools suitable for the development of a system that tracks subtle pilot states, such as drowsiness and micro-sleep episodes.