scholarly journals Integrating Facility Management Information into Building Information Modelling using COBie: Current Status and Future Directions

2018 ◽  
Author(s):  
Laura Florez ◽  
Kereshmeh Afsari
Keyword(s):  
Facility Management ◽  
Current Status ◽  
Management Information ◽  
Future Directions ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

BIM for building refurbishment and maintenance: current status and research directions

2015 ◽  
Vol 33 (3) ◽  
pp. 228-256 ◽  
Author(s):  
Deniz Ilter ◽  
Esin Ergen
Keyword(s):  
Information Exchange ◽  
Facility Management ◽  
Current Status ◽  
Future Directions ◽  
Building Information Modelling ◽  
Design Assessment ◽  
Content Type ◽  
Building Refurbishment ◽  
Building Information ◽  
Cumulative Knowledge

Purpose – The purpose of this paper is to present a strategic overview of the current literature on “Building information modelling (BIM) for Building Refurbishment and Maintenance” to unfold the factors behind the relative underdeveloped state of the field and to contribute to the development of a more cumulative knowledge base by presenting the current status and suggesting future directions for research. Design/methodology/approach – A systematic review of the literature has been undertaken by classifying and mapping the literature, identifying the input-output relations, exhibiting the areas focused on by researchers as well as neglected ones and by indicating the trends in research through the years. Both qualitative and quantitative analysis is used in the study to better interpret the existing studies in a holistic perspective. Findings – Although the need for BIM in facility management (FM) has been acknowledged by researchers and practitioners, the results highlight that studies related to BIM applications in maintenance and especially refurbishment are relatively recent. However, the trend in published articles shows that the interest is continuously growing. Existing research in this field can be clustered in the following subtopics: (1) building survey and as-built BIM, (2) modelling and managing energy, (3) design assessment, (4) access to and integration of maintenance information and knowledge, and (5) information exchange and interoperability. Originality/value – The paper identifies the gaps in the research domain that hinders a widespread adoption of BIM in refurbishment and maintenance stages and introduces roadmaps to surmount the challenges identified in each specific subtopic of the field.

Integrating building information modelling for improving facility management operations: a fuzzy synthetic evaluation of the critical success factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ifeoluwa Benjamin Oluleye ◽  
Abiodun Kolawole Oyetunji ◽  
Michael Ayodele Olukolajo ◽  
Daniel W.M. Chan
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Facility Management ◽  
Fuzzy Synthetic Evaluation ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Critical Success ◽  
Adoption And Implementation ◽  
Building Information

Purpose Building information modelling (BIM) is a novel technological advancement in the built environment. Despite the potentials of BIM, its adoption and implementation are undermined in facility management (FM) operations. This might be because of limited information on the critical success factors (CSFs) that can enhance its adoption. The study aims to integrate building information modelling to improve facility management operation by adopting fuzzy synthetic approach for evaluating the critical success factors. Design/methodology/approach Data for the study were sourced from practising and registered facility managers within Lagos metropolis, Nigeria. The data collected were analysed using a combination of methods which include mean item score, factor analysis and fuzzy synthetic evaluation (FSE). Findings The factor analysis results showed that six underlying groups of CSFs would enhance the effective adoption of BIM in facility operations. The FSE results showed that out of the six groups, the three topmost important CSF grouping (CSFG) in the decision rule would enhance the effectiveness of BIM adoption for FM operations. Practical implications The result of this study provides a credible road map for facility managers, policymakers and other stakeholders in FM operations on the CSFs and CSFG required for the adoption of BIM. Originality/value Previous studies that aimed at integrating BIM into FM are limited. Hence, this study provides a broad perspective on the CSF required for BIM adoption and implementation in FM operations using the FSE approach.

scholarly journals Building Information Modelling (BIM) for Facility Management (FM): Industry Survey of Building Assets

2019 ◽  
Vol 3 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Brandi Williams ◽  
Brian Haines ◽  
Kathy Roper ◽  
Eunhwa Yang
Keyword(s):  
Data Management ◽  
Asset Management ◽  
Current Practice ◽  
Management Strategies ◽  
Facility Management ◽  
Future Research ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Industry Standards ◽  
Building Information

ABSTRACT The purpose of this paper is to discover the current methods that facility managers use to manage and track assets and identify a set of attributes for Building Information Modelling (BIM) that can improve the efficiency of the current facility management (FM) practice. A survey of over 100 facility management professionals addressed demographics such as industry sector, number of buildings managed, and use of industry standards or internally developed guidelines for data management. This information is correlated with their current asset management strategies to identify minimum sets of attributes that may be used for an FM-specific BIM. In addition, the survey asked the FM professionals their opinion on the importance of specific asset attributes and data management information that could be included in a BIM for FM. The findings of this paper indicate that there is a consensus on basic information (asset type, unique identification, manufacturer, model number, serial number) needed for asset management, and that there is no generally accepted system on how this is done in current practice. FM professionals and software providers may use the information in this paper to establish baseline sets of data to include in BIM during the design phase of projects. This paper provides insight and data as to the current practice of asset management by facility managers. Understanding the actual needs of the FM industry will assist in future research to implement BIM for FM.

scholarly journals Multicriteria analysis and information modelling in management of built environment

2020 ◽  
Vol 164 ◽  
pp. 10007
Author(s):  
Nikolai Bolshakov ◽  
Vladimir Badenko ◽  
Julia Volkova ◽  
Alberto Celani ◽  
Lei Zhang
Keyword(s):  
Built Environment ◽  
Multicriteria Analysis ◽  
Potential Method ◽  
Facility Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Hierarchy Process ◽  
Critical Overview ◽  
Lifecycle Design

Building Information Modelling (BIM) proves to be the most urgent trend in construction for the last years. Still the major part of this issue is dedicated only to the first stages of building lifecycle: design and construction. This article goal is to provide a critical overview on recent achievements in BIM application for the different steps of building lifecycle as well as ongoing digitalization of facility management. The paper explores the importance of applying mathematical modelling and multicriteria analysis such as Analytical Hierarchy Process (AHP) and fuzzy logic in management of built environment and provides recent examples of such applications consequently exploring its potential. Method of analysis in this article is horizontal analysis of publication activity in related research topic. Different levels of digital built environment are considered: from building (BIM) to the whole city (GIS). The result of the research reveal that emergence of scan-to-BIM technology brings benefits not only for the buildings which are designed with BIM models (current situation in the market) but for the buildings which are already built (as-built BIM).

Building information modelling (BIM) penetration in quantity surveying (QS) practice

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluwole Alfred Olatunji ◽  
Jane Jia Suen Lee ◽  
Heap-Yih Chong ◽  
Abiola Abosede Akanmu
Keyword(s):  
Professional Services ◽  
Market Demand ◽  
Snowball Sampling ◽  
Future Directions ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Key Variables ◽  
Quantity Surveying

PurposeThis study investigates building information modelling (BIM) penetration in quantity surveying (QS) practice by examining the significance attached to the benefits and barriers of BIM adoption, BIM capabilities and future directions of BIM in QS processes. A popular opinion amongst construction researchers is that BIM has the capacity to revolutionize the industry. The study draws-out information in the literature regarding discipline-specific penetration of BIM.Design/methodology/approachSnowball sampling method was used to obtain information through a survey questionnaire. A total of 73 participants, largely quantity surveyors in Western Australia, took part in the study. Reductionist methodology was used to identify key variables of QS-BIM competencies that are most significant statistically.FindingsBIM does not impose additional difficulties to traditional QS processes. Adherence to standard method of measurement and limited market demand do not hinder BIM deployment significantly. Quantity surveyors are able to use BIM to support their professional services once definitive design models are involved. In addition, the study identifies BIM penetration barriers to include constraints caused by centralised database management and interoperability issues, limitations imposed by market drivers, lack of in-house expertise to manage modelling needs and limited capability in software management.Practical implicationsFuture opportunities for skill development are in the areas noted in the findings. Whilst many studies have reported resistance and widespread scepticism amongst some construction disciplines regarding BIM adoption, this study finds BIM penetration in QS practice is considerable, a direction that could trigger further novel innovations.Originality/valueThe methodology reported in the study is novel. In addition, findings from the study inspires other discipline-specific studies to articulate their BIM-penetration trends so that t broad areas of construction can develop a balanced strategy around BIM and innovation development.

Building information modelling for facility management: are we there yet?

2017 ◽  
Vol 24 (6) ◽  
pp. 1119-1154 ◽  
Author(s):  
Ruwini Edirisinghe ◽  
Kerry Anne London ◽  
Pushpitha Kalutara ◽  
Guillermo Aranda-Mena
Keyword(s):  
Diffusion Theory ◽  
Implementation Process ◽  
Facility Management ◽  
Future Research ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Innovation Diffusion Theory ◽  
Research Areas ◽  
Building Information

Purpose Building information modelling (BIM) is increasingly being adopted during construction projects. Design and construction practices are adjusting to the new system. BIM is intended to support the entire project life-cycle: the design and construction phases, and also facility management (FM). However, BIM-enabled FM remains in its infancy and has not yet reached its full potential. The purpose of this paper is to identify major aspects of BIM in order to derive a fully BIM-enabled FM process. Design/methodology/approach In total, 207 papers were classified into main and subordinate research areas for quantitative analysis. These findings were then used to conceptualise a BIM-enabled FM framework grounded by innovation diffusion theory for adoption, and for determining the path of future research. Findings Through an extensive literature review, the paper summarises many benefits and challenges. Major aspects of BIM are identified in order to describe a BIM-enabled FM implementation process grounded by innovation diffusion theory. The major research areas of the proposed framework include: planning and guidelines; value realisation; internal leadership and knowledge; procurement; FM; specific application areas; data capture techniques; data integration; knowledge management; and legal and policy impact. Each element is detailed and is supported by literature. Finally, gaps are highlighted for investigation in future research. Originality/value This paper systematically classifies and evaluates the existing research, thus contributing to the achievement of the ultimate vision of BIM-enabled FM. The proposed framework informs facility managers, and the BIM-enabled FM implementation process. Further, the holistic survey identifies gaps in the body of knowledge, revealing avenues for future research.

scholarly journals A Review of Embedding Artificial Intelligence in Internet of Things and Building Information Modelling for Healthcare Facility Maintenance Management

2021 ◽  
Vol 11 (2) ◽  
pp. 31
Author(s):  
Mina Sadat Orooje ◽  
Mohammad Mehdi Latifi
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Healthcare Facility ◽  
Facility Management ◽  
Maintenance Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Related Data ◽  
Building Information ◽  
Facility Maintenance

Latest innovations in Internet of Things (IoT) technologies as well as the new paradigms in Artificial Intelligence systems are opening up opportunities to create smart computing infrastructures for the Healthcare Facility Management. However, the current scenario of hospital buildings maintenance management is strongly characterized by slow, redundant, and not integrated processes, which lead to loss of money, resources, and time. On the other hand, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Maintenance Management. Consequently, optimization of data collection process and management is required. In this light, this paper presents a review of embedding AI (Artificial Intelligence) in BIM-IoT integration for the process of healthcare Facility Maintenance Management (FMM) in order to conquer the current challenges. The first challenge in front of integrating IoT– BIM, is the lack of information; the second challenge is BIM’s sematic information that has not been able to display indoor conditions’ elements which should be reconsidered; and the third challenge is the data size which is stored in systems as well as the eligibility of individuals to apply the related data. Additionally, some emerging trends in IoT are reviewed such as the combination of Machine Learning and Artificial Intelligence in order to exploit their advantages and complement their limitations, which enable new promising IoT applications.

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