Abstract
Reactive maintenance (RM) is a core service of the operation and maintenance (O&M) phase, the most prolonged and costly within the building lifecycle. RM is characterised by inefficient asset information and communication management, impacting critical FM problems and users’ experience. Building information modelling (BIM) and Internet of things (IoT) has enabled the development of digital twins, moving facilities management (FM) from a reactive approach towards a predictive one. Although previous studies have investigated the application of such technologies to FM, there is a lack of understanding on procedural issues related to its implementation in FM and RM. This research aimed to characterise strategies and decisions involved in prototyping a BIM and IoT-based smart-lighting maintenance system and identify its potential impacts on universities’ maintenance processes. The adopted research strategy and data collection methods involved prototyping, questionnaires, and interviews. The results show a high level of complexity in converging maintenance needs and technological abilities for FM and the importance of procedures and standards at organisational and industry levels. Moreover, it evidenced that the automation of functions and the centralisation of information enabled by BIM and IoT can optimise service provision, generate environmental and efficiency gains, and improve users’ safety and satisfaction.
Highlights
The architecture, engineering, construction and operations (AECO) sector consumes the largest number of resources of all industries
The operation and maintenance (O&M) phase is often characterised by wasteful processes such as reactive maintenance (RM) services performed on a “firefighting” basis [2] and informed by inefficient asset information datasets
This research aimed to characterise strategies and decisions involved in prototyping a building information modelling (BIM) and Internet of things (IoT)-based smart-lighting maintenance system, identifying its potential impacts on the maintenance process
Summary
The architecture, engineering, construction and operations (AECO) sector consumes the largest number of resources of all industries. Resources are used within all lifecycle phases, but the operation and maintenance (O&M) phase is inherently the main contributor [1]. In addition to waste, such a managerial approach prevents the optimal resolution of critical building problems and negatively impacts users’. Addressing such issue, building information modelling (BIM) and Internet of things (IoT) have been driving the sector towards more sustainable and predictive practices, fostering the concepts of “smart facilities management” [3], “smart maintenance” [4,5,6,7] and smart lighting [8].
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