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The purpose of this paper is to know how do early-phase planning of real estate (RE) and facilities management (FM) create value for owners and users of commercial and public sector buildings.

The data were collected in Norway in 2015 through a national online survey (N = 837). The sample gives a good picture of Norwegian owners’ and even users on tactical-level (customer) perspectives on RE and FM. The data have been analysed through descriptive statistics and exploratory factor analysis. The hypotheses have been tested through analyses of correlations and ordinary least square (OLS) linear regressions.

Exploratory factor analysis made it possible to establish seven composite variables (constructs). Based on these seven constructs, six hypotheses were derived and tested. Obstacles and financials have no significant effect on buildings’ perceived usability. The most important factors during early-phase planning that influence buildings’ perceived usability and lifetime value creation are measures promoting environment and life-cycle costs (LCC), FM, adaptability and image.

Further empirical and preferably, comparative studies are needed to establish whether the findings can be generalized. The study has shown that a building’s usability and lifetime value creation is largely determined by decisions made during early phase planning.

Well-founded early-phase planning of RE and FM may actually provide very high return on the investments and significantly improve the buildings’ lifetime value creation for owners and users. Early-phase planning is also of great importance both for buildings’ physical design, as well as for successful FM during the buildings’ use phase, and may prevent irreversible blunders.

This is a large N empirical study in Norway. The findings indicate what owner and users of buildings should emphasize during early phase planning.

The purpose of the presented research is to investigate which tasks among the ones performed during a buildings’ operational phase are perceived to be more inefficient and to investigate if the information within a building information model (BIM) can help improve task efficiency.

The Digital Built Britain (BIM Level 3) aims to extend BIM into operation by promoting a life cycle approach for buildings through an integrated digital environment. Nevertheless, the main focus of both BIM Level 2 and Level 3 is mainly on design, construction and hand over; therefore, the current understanding and use of BIM for a buildings’ occupancy phase is still limited. Current literature and research focusing on BIM and building management show only marginal use of the technology, especially in terms of how BIM can be used beside for maintenance.

The paper presents the results of an online questionnaire survey aimed to ascertain the level of perceived inefficiencies of operational tasks. Through the analysis of Industry Foundation Classes (IFC) data models, the research identifies the data set needed to improve the efficiency of the tasks and presents a structured implementation plan to identify the information that should be prioritized in the model implementation.

The study presents part of a methodology developed by the author aimed to implement a BIM model for existing buildings including information that would support the management of the single facility/portfolio. While other studies have considered BIM and the operational phase, especially in relation to asset maintenance, this study has focused on understanding how the information included in the model can improve task efficiency.

This paper aims to investigate how digital capabilities associated with building information modelling (BIM) can integrate a wide range of information to improve built asset management (BAM) decision-making during the in-use phase of hospital buildings.

A comprehensive document analysis and a participatory case study was undertaken with a regional NHS hospital to review the type of information that can be used to better inform BAM decision-making to develop a conceptual framework to improve information use during the health-care BAM process, test how the conceptual framework can be applied within a BAM division of a health-care organisation and develop a cloud-based BIM application.

BIM has the potential to facilitate better informed BAM decision-making by integrating a wide range of information related to the physical condition of built assets, resources available for BAM and the built asset’s contribution to health-care provision within an organisation. However, interdepartmental information sharing requires a significant level of time and cost investment and changes to information gathering and storing practices within the whole organisation.

This research demonstrated that the implementation of BIM during the in-use phase of hospital buildings is different to that in the design and construction phases. At the in-use phase, BIM needs to integrate and communicate information within and between the estates, facilities division and other departments of the organisation. This poses a significant change management task for the organisation’s information management systems. Thus, a strategically driven top-down organisational approach is needed to implement BIM for the in-use phase of hospital buildings.

Facility management (FM) is regarded as an emerging issue in civil engineering and is responsible for ensuring the building's expected performance. The purpose of this study is to analyze buildings' current FM processes for educational and high residential segments and propose an FM-building information modeling (BIM) (BIM6D) to understand the information flow and leading players with and without FM-BIM integration.

The research strategy was a case study with data from the FM process of two buildings. This study was carried out in three stages: diagnosis of FM of the two buildings, FM-BIM integration and information flow and leading players analysis. Maintenance activities were categorized according to periodicity and status criteria for each project element for FM-BIM integration and were visualized in the Revit design using Dynamo software.

The results of this study show differences in how FM is conducted, especially in formalization and preventive character, and similarities regarding the difficulty of foreseen and lack of control because of scattered, disconnected and incomplete information on both. The visual appeal of the FM-BIM integration facilitates information access. It optimizes the use of the digital model through the most prolonged phase of the life cycle of a building (post-occupation phase). However, FM-BIM challenges buildings that do not have digital model expertise as residential segments. This study suggests a more significant role for construction companies in these cases.

This study investigates BIM-FM integration of buildings in two different contexts and reveals the importance of a construction company's role in buildings in the residential segment. This study contributes with real-life cases on BIM in existing buildings, discussing the value and challenges of BIM in FM applications.

To mitigate the problems in sensor-based facility management (FM) such as lack of detailed visual information about a built facility and the maintenance of large scale sensor deployments, an integrated data source for the facility’s life cycle should be used. Building information modeling (BIM) provides a useful visual model and database that can be used as a repository for all data captured or made during the facility’s life cycle. It can be used for modeling the sensing-based system for data collection, serving as a source of all information for smart objects such as the sensors used for that purpose. Although few studies have been conducted in integrating BIM with sensor-based monitoring system, providing an integrated platform using BIM for improving the communication between FMs and Internet of Things (IoT) companies in cases encountered failed sensors has received the least attention in the technical literature. Therefore, the purpose of this paper is to conceptualize and develop a BIM-based system architecture for fault detection and alert generation for malfunctioning FM sensors in smart IoT environments during the operational phase of a building to ensure minimal disruption to monitoring services.

This paper describes an attempt to examine the applicability of BIM for an efficient sensor failure management system in smart IoT environments during the operational phase of a building. For this purpose, a seven-story office building with four typical types of FM-related sensors with all associated parameters was modeled in a commercial BIM platform. An integrated workflow was developed in Dynamo, a visual programming tool, to integrate the associated sensors maintenance-related information to a cloud-based tool to provide a fast and efficient communication platform between the building facility manager and IoT companies for intelligent sensor management.

The information within BIM allows better and more effective decision-making for building facility managers. Integrating building and sensors information within BIM to a cloud-based system can facilitate better communication between the building facility manager and IoT company for an effective IoT system maintenance. Using a developed integrated workflow (including three specifically designed modules) in Dynamo, a visual programming tool, the system was able to automatically extract and send all essential information such as the type of failed sensors as well as their model and location to IoT companies in the event of sensor failure using a cloud database that is effective for the timely maintenance and replacement of sensors. The system developed in this study was implemented, and its capabilities were illustrated through a case study. The use of the developed system can help facility managers in taking timely actions in the event of any sensor failure and/or malfunction to ensure minimal disruption to monitoring services.

However, there are some limitations in this work which are as follows: while the present study demonstrates the feasibility of using BIM in the maintenance planning of monitoring systems in the building, the developed workflow can be expanded by integrating some type of sensors like an occupancy sensor to the developed workflow to automatically record and identify the number of occupants (visitors) to prioritize the maintenance work; and the developed workflow can be integrated with the sensors’ data and some machine learning techniques to automatically identify the sensors’ malfunction and update the BIM model accordingly.

Transferring the related information such as the room location, occupancy status, number of occupants, type and model of the sensor, sensor ID and required action from the BIM model to the cloud would be extremely helpful to the IoT companies to actually visualize workspaces in advance, and to plan for timely and effective decision-making without any physical inspection, and to support maintenance planning decisions, such as prioritizing maintenance works by considering different factors such as the importance of spaces and number of occupancies. The developed framework is also beneficial for preventive maintenance works. The system can be set up according to the maintenance and time-based expiration schedules, automatically sharing alerts with FMs and IoT maintenance contractors in advance about the IoT parts replacement. For effective predictive maintenance planning, machine learning techniques can be integrated into the developed workflow to efficiently predict the future condition of individual IoT components such as data loggers and sensors, etc. as well as MEP components.

Lack of detailed visual information about a built facility can be a reason behind the inefficient management of a facility. Detecting and repairing failed sensors at the earliest possible time is critical to ensure the functional continuity of the monitoring systems. On the other hand, the maintenance of large-scale sensor deployments becomes a significant challenge. Despite its importance, few studies have been conducted in integrating BIM with a sensor-based monitoring system, providing an integrated platform using BIM for improving the communication between facility managers and IoT companies in cases encountered failed sensors. In this paper, a cloud-based BIM platform was developed for the maintenance and timely replacement of sensors which are critical to ensure minimal disruption to monitoring services in sensor-based FM.

The construction industry is tasked with creating sustainable, efficient and cost-effective buildings. This study aims to develop a building information modeling (BIM)-based multiobjective optimization (MOO) model integrating the nondominated sorting genetic algorithm III (NSGA-III) to enhance sustainability. The goal is to reduce embodied energy and cost in the design process.

Through a case study research method, this study uses BIM, NSGA-III and real-world data in five phases: literature review, identification of factors, BIM model development, MOO model creation and validation in the architecture, engineering and construction sectors.

The innovative BIM-based MOO model optimizes embodied energy and cost to achieve sustainable construction. A commercial building case study validation showed a reduction of 30% in embodied energy and 21% in cost. This study validates the model’s effectiveness in integrating sustainability goals, enhancing decision-making, collaboration, efficiency and providing superior assessment.

This model delivers a unified approach to sustainable design, cutting carbon footprint and strengthening the industry’s ability to attain sustainable solutions. It holds potential for broader application and future integration of social and economic factors.

The research presents a novel BIM-based MOO model, uniquely focusing on sustainable construction with embodied energy and cost considerations. This holistic and innovative framework extends existing methodologies applicable to various buildings and paves the way for additional research in this area.

The purpose of this paper is to create and present a Leadership in Energy and Environmental Design New Construction (LEED NC) building performance assessment model that will identify and prioritize external parameters affecting a LEED-certified building’s operational performance.

The uncertainty associated with external parameters affecting a LEED-certified building’s operational performance is examined through the use of analytic network process (ANP). An ANP model is created based on the extensive literature research and experiences of professionals in the green building industry. Eight case studies are analyzed, and data collected through interviews with experts are utilized in prioritizing external parameters affecting buildings’ operational performance.

The findings show that the most important external parameters affecting a LEED-certified building’s operational performance are lack of enhanced commissioning, lack of life cycle assessment/life cycle costing analysis, lack of energy modeling, and lack of knowledge in green technology. The results demonstrate that both asset value and profit, as well as the economic life of the facility, are mostly affected by the energy efficiency of the building, and consequently LEED NC energy and atmosphere category.

This research contributes to the body of knowledge on green architecture by defining and prioritizing external parameters and their relationships to operational building performance in LEED NC projects. The proposed model can be used by construction managers and facility managers to operate LEED-certified buildings better and reduce environmental impacts throughout the functional life cycle of the building.

The purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and circular economy precepts for built assets. Open standard data models enable robust and efficient data exchange which underpins the successful implementation of a circular economy. One of the largest opportunities to reduce the total life cycle cost of a built asset is to use the building information modelling (BIM) approach during the operational phase because it represents the largest share of the entire cost. BIM models that represent the actual conditions and performance of the constructed assets can boost the benefits of the installed monitoring systems and reduce maintenance and operational costs.

This paper presents a horizontal investigation of current BIM data models and their use for describing circular economy principles and performance monitoring of built assets. Based on the investigation, an extension to the industry foundation classes (IFC) specification, recommendations and guidelines are presented which enable to describe circular economy principles and asset monitoring using IFC.

Current open BIM data models are not sufficiently mature yet. This limits the interoperability of the BIM approach and the implementation of circular economy principles. An overarching approach to extend the current standards is necessary, which considers aspects related to not only modelling the monitoring system but also data management and analysis.

To the authors’ best knowledge, this is the first study that identifies requirements for data model standards in the context current linear economic model of making, using and disposing is growing unsustainably far beyond the finite limits of planet of a circular economy. The results of this study set the basis for the extension of current standards required to apply the circular economy precepts.

Advancements in digital technologies have provided significant opportunities to improve the Architecture, Engineering, Construction and Owner-operated (AECO) sector’s performance through superior data management, streamlined processes and cooperative working practices. However, whilst academic literature widely espouses these benefits during the design and construction phases of development, research suggests that the operational phase of a building’s lifecycle has yet to fully realise performance improvements available through the application of digital modelling technology. The purpose of this paper is to synthesise extant digital modelling, asset management and emergent digital asset management literature, to report upon the beneficial implications of digitalised asset management and identify obstacles hampering its adoption in industry.

A componential synthesis of future work reported upon in extant literature is organised into thematic categories that indicate potential research avenues and a trajectory for digital asset management research and practice.

Themes identified include: imprecise Building Information Modelling definitions; isolated software development; data interoperability; intellectual property and virtual property rights; and skills and training requirements. Notably, increased environmental performance also arose as a theme requiring further research but received considerably less academic coverage than the other obstacles identified.

The work presents a comprehensive review of digital technologies utilised within the AECO sector and as such provides utility to researchers, policy makers and practitioners to enhance their knowledge capabilities.

This paper aims to propose a space-oriented solution as an interface enabling the knowledge transfer between the building and the facilities management (FM) industry.

The research gap is explored based on practical investigations in six large-scale hospitals in China. The theory of engineering systems integration inspires the proposed solution. A practical scenario is demonstrated to explain the workflow of this solution.

It is founded that lagging information updates of FM systems in hospital project are one of the main reasons for inefficient and costly FM workflow. Building information modelling (BIM) model could provide accurate building information to the FM systems at the building handover stage. However, few researchers focus on the continuous information transfer solution from the BIM model to FM systems during the building in-use phase. An interface should be established for the “conversation” between the frequent changes of building and the FM systems in the post-construction period.

The information updates in three FM systems due to space changes in a hospital project is considered as a practical scenario in this paper. It is presented with the workflow and the data logic chain.

The originality of this paper is to propose a solution to integrate the space information provided by the BIM model with the parameters of particular FM systems. This solution deploys a BIM model for the FM industry. The solution could allow the FM personnel to ease operations and maintenance workflow by updating the space information in the BIM model.