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      A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies

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          Abstract

          The purpose of this article was to validate the published artificial intelligence (AI) facilities management (FM) outsourcing relationships system by real business cases in the working environment. The research aims to inspire the modern FM professionals in different industries with some challenging and innovative concepts about FM outsourcing relationships between facilities owners and service providers. First, it will briefly introduce the theory of the FM outsourcing relationships system on how it can help the FM seniors and strategists to design their FM daily strategies wisely and make their business more effective and productive. Second, it will also introduce what the research is practically doing in the stage of case study for test and verification. It is concluded that FM outsourcing categorization may help to define the appropriate relationships. This further detailed outcome generated from the AI can be considered a solid reference to define and explain the existing outsourcing relationships between the stakeholders and the service providers to assign an outsourcing category to the FM relationship between the client and service provider based on the learnt rules.

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          Most cited references12

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          Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs

          Digitisation of the built environment is seen as a significant factor for innovation in the Architecture, Engineering, Construction and Operation sector. However, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Management. Therefore, optimisation of data collection and management is needed, all the more so now that Industry 4.0 has widened the use of sensors into buildings and infrastructures. A literature review on the two main pillars of digitalisation in construction, Building Information Modelling and Internet of Things, is presented, along with a bibliographic analysis of two citations and abstracts databases focusing on the operations stage. The bibliographic research has been carried out using Web of Science and Scopus databases. The article is aimed at providing a detailed analysis of BIM–IoT integration for Facility Management (FM) process improvements. Issues, opportunities and areas where further research efforts are required are outlined. Finally, four key areas of further research development in FM management have been proposed, focusing on optimising data collection and management.
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            IoT Open-Source Architecture for the Maintenance of Building Facilities

            The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digital framework based on IoT and BIM platforms. Sensors applied in the building systems and IoT technology on a cloud platform with opensource tools and standards enable monitoring of real-time operation and detecting of different kinds of faults in case of malfunction or failure, therefore sending alerts to facility managers and operators. Proposed preventive maintenance methodology applied on a proof-of-concept heating, ventilation and air conditioning (HVAC) plant adopts open source IoT sensor networks. The results show that the integrated IoT and BIM dashboard framework and implemented building structures preventive maintenance methodology are applicable and promising. The automated system architecture of building facilities is intended to provide a reliable and practical tool for real-time data acquisition. Analysis and 3D visualization to support intelligent monitoring of the indoor condition in buildings will enable the facility managers to make faster and better decisions and to improve building facilities’ real time monitoring with fallouts on the maintenance timeliness.
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              Sustainability in facilities management: an overview of current research

              Climate adaptation, energy efficiency, sustainable development and green growth are societal challenges for which the Facilities Management (FM) profession can develop solutions and make positive contributions on the organisational level and with societal-level effects. To base the emerging sub-discipline of sustainable facilities management (SFM) on research, an overview of current studies is needed. The purpose of this literature review is to provide exactly this overview. This article identifies and examines current research studies on SFM through a comprehensive and systematic literature review. The literature review included screening of 85 identified scientific journals and almost 20,000 articles from the period of 2007-2012. Of the articles reviewed, 151 were identified as key articles and categorised according to topic. The literature review indicated that the current research varies in focus, methodology and application of theory, and it was concluded that the current research primary addresses environmental sustainability, whereas the current research which takes an integrated strategic approach to SFM is limited. The article includes lists of reviewed journals and articles to support the further development of SFM in research and practice. The literature review includes literature from 2007 to 2012, to manage the analytical process within the project period. However, with the current categorisation and the access to the reviewed journals and articles, it is possible to continue with the latest literature. The article provides an overview of theoretical and practical knowledge which can guide: how to document and measure the performance of building operations in terms of environmental, social and economical impacts? How to improve the sustainability performance of buildings? What are the potentials for and barriers to integrating sustainability into FM on strategic, tactical and operational levels? The paper presents the most comprehensive literature study on SFM so far, and represents an important knowledge basis which is likely to become a key reference point for pioneers and scholars in the emerging sub-discipline of SFM.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                04 August 2022
                2022
                : 13
                : 920625
                Affiliations
                [1] 1National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University , Chongqing, China
                [2] 2Asian Institute of Built Environment, Hong Kong , Hong Kong SAR, China
                [3] 3College of Engineering, University of Sharjah , Sharjah, United Arab Emirates
                [4] 4College of Business and Information Technology, University of Phoenix , Hawaii, HI, United States
                Author notes

                Edited by: Jeoung Yul Lee, Hongik University, South Korea

                Reviewed by: Suvi Nenonen, Tampere University, Finland; Ilkhom Irisboev, Hongik University, South Korea

                *Correspondence: Ka Leung Lok, k.l.lok@ 123456edu.salford.ac.uk

                This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2022.920625
                9423375
                70dc85d8-c744-4552-8610-934be5695f1d
                Copyright © 2022 Lok, So, Opoku and Chen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 April 2022
                : 14 July 2022
                Page count
                Figures: 0, Tables: 0, Equations: 5, References: 12, Pages: 7, Words: 4829
                Categories
                Psychology
                Data Report

                Clinical Psychology & Psychiatry
                artificial neural networks (anns),facilities management outsourcing relationships system,facilities management strategies,outsourcing categories,core model,sustainability

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