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

2021 ◽  
Vol 11 (7) ◽  
pp. 3062
Author(s):  
Antonino Mannino ◽  
Mario Claudio Dejaco ◽  
Fulvio Re Cecconi
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Literature Review ◽  
Facility Management ◽  
Building Information Modelling ◽  
Engineering Construction ◽  
Information Modelling ◽  
Process Improvements ◽  
Building Information ◽  
Collection And Management

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.

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.

Optimising building performance through integrating risk management and building information modelling during the design process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayman Ahmed Ezzat Othman ◽  
Fatma Othman Alamoudy
Keyword(s):  
Risk Management ◽  
Literature Review ◽  
Case Studies ◽  
Design Process ◽  
Building Performance ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information

Purpose This paper aims to develop a framework for optimising building performance through the integration between risk management (RM) and building information modelling (BIM) during the design process. Design/methodology/approach To achieve this aim, a research strategy consisting of literature review, case studies and survey questionnaire is designed to accomplish four objectives. First, to examine the concepts of design process, building performance, RM and BIM; second, to present three case studies to explain the role of using RM and BIM capabilities towards optimising building performance; third, to investigate the perception and application of architectural design firms in Egypt towards the role of RM and BIM for enhancing building performance during the design process; and finally, to develop a framework integrating RM and BIM during the design process as an approach for optimising building performance. Findings Through literature review, the research identified 18 risks that hamper optimising building performance during the design process. In addition, 11 building performance values and 20 BIM technologies were defined. Results of data analysis showed that “Design budget overrun”, “Lack of considering life cycle cost” and “Inefficient use of the design time” were ranked the highest risks that affect the optimisation of building performance. Respondents ranked “Risk avoid” or “Risk transfer” as the most risk responses adopted in the Egyptian context. In addition, “BIM As Built” was ranked the highest BIM technology used for overcoming risks during the design process. These findings necessitated taking action towards developing a framework to optimising building performance. Originality/value The research identified the risks that affect optimising building performance during the design process. It focuses on improving the design process through using the capabilities of BIM technologies towards overcoming these risks during the design process. The proposed framework which integrates RM and BIM represents a synthesis that is novel and creative in thought and adds value to the knowledge in a manner that has not previously occurred.

scholarly journals A state-of-the-art review of built environment information modelling (BeIM)

2017 ◽  
Vol 9 (1) ◽  
pp. 1638-1654 ◽  
Author(s):  
J.H.M. Tah ◽  
A.H. Oti ◽  
F.H. Abanda
Keyword(s):  
Built Environment ◽  
Well Being ◽  
Data File ◽  
Building Information Modelling ◽  
Engineering Construction ◽  
Information Modelling ◽  
Planning And Design ◽  
Urban Planning And Design ◽  
Building Information ◽  
3D City Modelling

AbstractElements that constitute the built environment are vast and so are the independent systems developed to model its various aspects. Many of these systems have been developed under various assumptions and approaches to execute functions that are distinct, complementary or sometimes similar. Furthermore, these systems are ever increasing in number and often assume similar nomenclatures and acronyms, thereby exacerbating the challenges of understanding their peculiar functions, definitions and differences. The current societal demand to improve sustainability performance through collaboration as well as whole-system and through-life thinking is driving the need to integrate independent systems associated with different aspects and scales of the built environment to deliver smart solutions and services that improve the well-being of citizens. The contemporary object-oriented digitization of real-world elements appears to provide a leeway for amalgamating the modelling systems of various domains in the built environment which we termed as built environment information modelling (BeIM). These domains include architecture, engineering, construction as well as urban planning and design. Applications such as building information modelling, geographic information systems and 3D city modelling systems are now being integrated for city modelling purposes. The various works directed at integrating these systems are examined, revealing that current research efforts on integration fall into three categories: (1) data/file conversion systems, (2) semantic mapping systems and (3) the hybrid of both. The review outcome suggests that good knowledge of these domains and how their respective systems operate is vital to pursuing holistic systems integration in the built environment.

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 Exploration of Building Information Modelling (BIM) Application: An Understanding Among Quantity Surveyor in Malaysia

2020 ◽  
Vol 5 (2) ◽  
pp. 1-11
Author(s):  
Nadzirah Zainordin ◽  
◽  
Zamzarina Md Judyar ◽  
Nur Syahirah Zafarull ◽  
Nor Azizah Zalin ◽  
...  
Keyword(s):  
Literature Review ◽  
Construction Industry ◽  
Questionnaire Survey ◽  
The Other ◽  
Time Constraints ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Quantity Surveying ◽  
And Task

This study begins with a broad literature review to understand the Building Information Modelling (BIM) concept. Quantity Surveyors star as an influential role as qualified, trained, and proficient in dealing with glitches relating to construction expenditure, supervision, and consultation in the construction industry. When the task is getting crucial, an assistant from technology may help faster and smoother the process and task. This study aims to investigate an understanding of the application of BIM among Quantity Surveyor in Malaysia. According to the Board of Quantity Surveyors, Malaysia's official website, 101 registered Quantity Surveying Consultant firms were in 2018. This study targeted 1000 persons from different firms and expected to respond from at least 278 persons due to time constraints. The other criteria of the respondents include years of experience in the industry. Quantity Surveying Consultant firms would be the most suitable people to answer a questionnaire survey for this study. The registered Quantity Surveying Consultant firms are very well proficient in the quantity surveying practice and services. Therefore, by choosing Quantity Surveying Consultant firms to be the respondent may help in getting the most consistent answer and higher accuracy of the exploration of Quantity Surveyors productivity by adopting the Building Information Modelling (BIM) concept in Quantity Surveyor, which will further enhance the awareness of benefits of BIM to the Quantity Surveyor profession itself.

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).

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