Key requirements for effective implementation of building information modelling for maintenance management

2022 ◽  
pp. 1-9
Author(s):  
Opeoluwa Akinradewo ◽  
Clinton Aigbavboa ◽  
Ayodeji Oke ◽  
David Edwards ◽  
Nyenga Kasongo
Keyword(s):  
Maintenance Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Effective Implementation ◽  
Building Information

Towards a BIM-based approach for improving maintenance performance in IBS building projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zul-Atfi Bin Ismail
Keyword(s):  
Decision Making ◽  
Good Practice ◽  
Maintenance Management ◽  
Strategic Decision ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Conventional Methods

PurposeThe contemporary practice of conventional maintenance for industrialised building system (IBS) constructions suffers from poor service delivery and defect repetition. A key problem impeding the widespread adoption of emerging technologies is the lack of competent contractors to support the effectiveness of the technology implemented in conventional methods and to ensure returns on investment. The shortcomings of conventional methods are assessed from the perspective of IBS buildings. This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes.Design/methodology/approachThis paper describes the establishment of key problem areas, the elements involved in implementing good practice and the requirements for integrating maintenance management processes and information databases in the maintenance management system.FindingsConventional methods have little emphasis on defect diagnosis tools. They also enhance inadequate strategic decision-making in the analysis of information when attempting to improve the maintenance project outcomes for IBS construction. The characteristics identified in a case study of IBS buildings are presented and analysed.Originality/valueThe conclusions and recommendations drawn from the analysis of the IBS case study are discussed, synthesised and deliberated upon. The approach presented in this paper integrates various aspects of building information modelling technology to facilitate improved execution of IBS maintenance activities.

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.

Behavioural Intention to Use Building Information Modelling (BIM) among Community College Students in Malaysia

2020 ◽  
Vol 8 (1) ◽  
pp. 4-17
Author(s):  
Nor Akmal Mohamad ◽  
Madihah Khalid
Keyword(s):  
College Students ◽  
Community College ◽  
Community College Students ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model

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