Integration of facility management and building information modeling (BIM)

Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 455-483 ◽  
Author(s):  
Manish K. Dixit ◽  
Varusha Venkatraj ◽  
Mohammadreza Ostadalimakhmalbaf ◽  
Fatemeh Pariafsai ◽  
Sarel Lavy
Keyword(s):  
Literature Review ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Life Cycle Management ◽  
Facility Management ◽  
Information Modeling ◽  
Facilities Management ◽  
Content Type ◽  
Building Information ◽  
General Contractors

Purpose The purpose of this study is to investigate factors that impede the integration of facilities management (FM) into building information modeling (BIM) technology. The use of BIM technology in the commercial construction industry has grown enormously in recent years. Its application to FM, however, is still limited. The literature highlights issues that hinder BIM–FM integration, which are studied and discussed in detail in this paper. Design/methodology/approach A review of literature is conducted to identify and categorize key issues hampering the application of BIM to FM. This paper has also designed a questionnaire based on a literature review and surveyed FM professionals at two industry events. Using the collected responses, these issues are analyzed and discussed using non-parametric statistical analyses. Findings A total of 16 issues are identified through the literature review of 54 studies under the four categories of BIM-execution and information-management, technological, cost-based and legal and contractual issues. The results of the survey of FM professionals (with 57 complete responses) reveal that the single most important issue is the lack of FM involvement in project phases when BIM is evolving. Originality/value The findings of this study could assist the construction industry (e.g. building-material and equipment manufacturers, design professionals, general contractors, construction managers, owners and facility managers) with creating guidelines that would help in BIM–FM integration. BIM is a virtual database that contains important design and construction information, which can be used for effective and efficient life cycle management if building data are captured completely and accurately with a facility manager’s involvement.

scholarly journals FACILITY MANAGEMENT USING DIGITAL OBEYA ROOM BY INTEGRATING BIM-LEAN APPROACHES – AN EMPIRICAL STUDY

2018 ◽  
Vol 24 (8) ◽  
pp. 581-591 ◽  
Author(s):  
Daniel Luiz de Mattos Nascimento ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
Marcelo Jasmim Meiriño ◽  
Rodrigo Goyannes Gusmão Caiado ◽  
Simone D. J. Barbosa ◽  
...  
Keyword(s):  
Literature Review ◽  
Real World ◽  
Building Information Modeling ◽  
Facility Management ◽  
Information Modeling ◽  
Facilities Management ◽  
Lean Principles ◽  
Real World Application ◽  
Building Information

This paper applies a methodology for interdisciplinary Facilities Management (FM) by alingment between Building Information Modeling (BIM) and Lean. Initially, the literature review of BIM, FM and Lean principles. Afterwards, the research applies the Digital Obeya Room for improved FM and describes its application on a real-world case study. Lastly, the work presents a survey with specialists to assess the relevance of each BIM-Lean concepts and correlate their perceptions with the empirical results. The main collaborations of this work are: a conceptual framework that relates the PDCA (Plan-Do-Check-Act) cycle with BIM-Lean approaches; the identification of the most relevant BIM functionalies and Lean principles; and the real-world application of the framework procedures on FM.

scholarly journals Building Information Modeling Based Building Sustainability Assessment Framework for Kazakhstan

Buildings ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 384
Author(s):  
Gulzhanat Akhanova ◽  
Abid Nadeem ◽  
Jong R. Kim ◽  
Salman Azhar ◽  
Malik Khalfan
Keyword(s):  
Developing Countries ◽  
Literature Review ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Sustainability Assessment ◽  
Information Modeling ◽  
Assessment Framework ◽  
Considerable Time ◽  
Building Information ◽  
Country Specific

The use of building information modeling (BIM) for building sustainability assessment (BSA) is a thriving topic within the architecture, engineering, and construction industry. Despite the various research approaches to employing BSA with BIM support, the research is limited to the BIM implications of BSA methods in developing countries. This paper presents how BIM can assist the BSA processes in Kazakhstan, using a previously developed building sustainability assessment framework for Kazakhstan (KBSAF). This framework has 46 assessment indicators grouped into nine assessment categories. The categories and assessment indicators of KBSAF were derived considering the regional variations and country-specific differences in the assessment factors. In this paper, BIM functions for BSA were identified through literature review; their applicability for KBSAF was evaluated by mapping the functions with the assessment indicators of KBSAF and a BIM-based BSA framework (BIM-KBSAF) was proposed. The proposed framework was validated through a three-round Delphi survey. One of the results demonstrates that for KBSAF, BIM can assess 24 out of 46 assessment indicators. The proposed framework could serve as a systematic guide to the application of BIM for BSA. Furthermore, it can facilitate the BSA process and save considerable time and effort.

BUILDING INFORMATION MODELING (BIM) ROLES IN THE MALAYSIAN CONSTRUCTION INDUSTRY

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Aryani Ahmad Latiffi ◽  
Suzila Mohd ◽  
Juliana Brahim
Keyword(s):  
Construction Industry ◽  
Cost Estimation ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Facility Management ◽  
Information Modeling ◽  
Structured Interviews ◽  
New Paradigm ◽  
Building Information ◽  
Potential Improvement

Building Information Modeling (BIM) represents a new paradigm in the Malaysian architecture, engineering, and construction (AEC) industry. BIM technology provides virtual models (including 3-D models) to generate a building’s entire lifecycle. The model can also be used for analyzing design clashes, project scheduling, cost estimation, and facility management. The use of BIM in construction projects can reduce time to develop a project, reduce construction cost, and increase project quality. This paper aims to explore roles of BIM in the Malaysian construction industry. Semi-structured interviews were conducted with project consultants and BIM consultants involved in two government projects. The projects were the National Cancer Institute (NCI) Malaysia and Sultan Ibrahim Hall (formerly known as the Multipurpose Hall of Universiti Tun Hussein Onn Malaysia, or UTHM). The interviews revealed effects of BIM in both projects and potential improvement in implementing BIM in construction projects in Malaysia. A literature review and the interviews revealed that BIM is increasingly used and accepted by construction players in Malaysia, and is expected to grow in future.

scholarly journals Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

2020 ◽  
Vol 27 (10) ◽  
pp. 2931-2958
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Nicholas Chileshe ◽  
Sunday Ajiboye Babarinde ◽  
Malindu Sandanayake
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Multivariate Techniques ◽  
Content Type ◽  
Stage Of Development ◽  
Building Information ◽  
Barriers To Implementation ◽  
Lack Of Knowledge

PurposeThe purpose of this paper is to identify and assess the perceptions of constructional professionals on barriers to implementation of building information modeling (BIM) within the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted to identify the fourteen barriers to implementation of BIM, which were employed to design a questionnaire survey. Data collected were analyzed using descriptive statistics, mean score, Kruskal–Wallis test, analysis of variance and multivariate techniques such as factor analysis.FindingsThe descriptive and empirical analysis demonstrated a disparity of ranking of the 14 barriers factors among the groups; however no statistically significant differences among the 14 barriers to BIM. Based on the mean score ranking results, only three (out of 14) barriers are identified as critical (mean score greater than 3.5): few studies available on BIM and lack of knowledge, inexistence or inadequate government policies, and high cost of implementation. The results of the one-sample t-tests show that they were statistically significant differences in 10 out of 14 barriers as follows: few studies available on BIM and lack of knowledge, lack of demand for use and acceptance of BIM, inadequate contractual coordination, lack of specified standards, cost of data and information sharing, technological availability issues, reluctance of other stakeholders, business and cultural changes, data and intellectual property issues, and interoperability issues. The study, through factor analysis, categorized the fourteen barriers to BIM implementation into four principal factors. The factors are: technology and business-related barriers; training and people-related barriers; cost and standards-related barriers; and process and economic-related barriers.Practical implicationsThe identification and assessment of the key barriers to BIM implementation would be useful for the construction professionals and other stakeholder of the construction industry with the view to advance BIM adoption in Nigeria. This could also be extended to other developing countries through considerations of the local economic conditions, given the status of BIM as being in the germinating stage of development in Africa.Originality/valueThe study provides insights on the barriers to BIM implementation across the Nigerian construction sector environments. The innovative aspect of the study is the identification of the ordered and grouped (composite) set of barriers to BIM which could be used to developing appropriate mitigating solutions.

Challenges for Implementation of Building Information Modeling (BIM) in Malaysian Construction Industry

2014 ◽  
Vol 567 ◽  
pp. 559-564 ◽  
Author(s):  
Syed Shujaa Safdar Gardezi ◽  
Nasir Shafiq ◽  
Muhd Fadhil Nuruddin ◽  
Syed Ahmad Farhan ◽  
Usman Aminu Umar
Keyword(s):  
Literature Review ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Construction Methods ◽  
Previous Time ◽  
Key Players ◽  
Building Information ◽  
Future Project ◽  
Aec Industry

The construction industry of Malaysia is very dynamic in nature and the adoption of new technological advancements and construction methods has been a prime concerns for its key players and stakeholders. However, the adoption of BIM in such a dynamic industry is observed to be limited and its implementation has not been as successful as it should have been. The study focuses on the identification and prioritization the factors challenging the implementation of BIM in Malaysian construction industry. The data has been administrated through designed questionnaire by identifying the factors / barriers, by literature review, for implementation of BIM in construction industry. The prioritization of such factors is expected to help the major stake holders to address the issues according to their priority which will save lot of previous time and financial with smooth implementation of BIM in Architecture, Engineering and Construction (AEC) industry in future project.

scholarly journals Barriers to Implementation of Building Information Modeling (BIM) to the Construction Industry: A Review

2018 ◽  
Vol 7 (2) ◽  
pp. 107 ◽  
Author(s):  
Shakil Ahmed
Keyword(s):  
Literature Review ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Resistance To Change ◽  
Information Modeling ◽  
Successful Implementation ◽  
Relative Impact ◽  
Traditional Methods ◽  
Relative Rank ◽  
Building Information

Construction industry is one of the largest economic sector in the world in 2017. And Building Information Modeling (BIM) is the powerful set of technology to design, construction and management has been strengthen the construction industry. BIM has significant benefits for the project lifecycle even after it’s lifecycle but this benefits can’t gain by the project because of failure to successful implementation of BIM technology to the construction industry. The main objectives of this study is to identify the most crucial barrier to implementation of BIM and develop a relative rank with their relative impact on this issue. The study was conducted by a comprehensive literature review and necessary data was collected by literature review also. A set of barrier was developed by the literature review containing 37 barrier which curb the implementation of BIM technology to the construction sector. Relative rank based on their frequency and relative impact was calculate for each barrier identified in the literature review. The five most crucial barrier to the implementation of BIM are B17 (Social and habitual resistance to change), B19 (Traditional methods of contracting), B3 (Training expenses and the learning curve are too expensive), B20 (High cost of software purchasing) and B33 (Lack of awareness about BIM). And the five most impactful barrier are B19 (Traditional methods of contracting), B17 (Social and habitual resistance to change), B33 (Lack of awareness about BIM), B2 (Unavailability of proper training on BIM) and B28 (Lack of BIM experts). To gain the tremendous benefits of BIM technology, it is necessary to overcome the barrier based on priority with the help of government and all the stakeholder of project.

scholarly journals Drivers for implementation of building information modeling (BIM) within the Nigerian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Sunday Ajiboye Babarinde ◽  
Nicholas Chileshe ◽  
Malindu Sandanayake
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Multivariate Techniques ◽  
Content Type ◽  
Technological Advances ◽  
Building Information ◽  
Managerial Implications ◽  
Principal Factors

Purpose The Nigerian construction industry, like in most emerging economies has been slow with technological advances such as building information modeling (BIM). More so, the application of BIM among Nigerian practitioners is rather limited to architects’ usage for schematic design and presentation of drawings. The purpose of this study is to enhance BIM’s uptake, this study explores the drivers for the implementation of BIM within the Nigerian construction industry. Design/methodology/approach An interpretivist epistemological design was adapted to extensively manually review and search the literature on BIM implementation drivers. Based on 14 drivers for BIM implementation drivers identified, a survey questionnaire was used to collect data from the Nigerian construction practitioners. The data obtained is then subjected to descriptive, inferential statistics and multivariate techniques such as factor analysis. Findings The study, through factor analysis, categorized the 14 drivers to BIM implementation into four principal factors. The factors are construction related-drivers; process digitalization and economic-related drivers; sustainability and efficiency-related drivers; and visualization and productivity-related drivers. Practical implications To effectively adopt BIM in the construction industry, it is necessary to identify the BIM implementing drivers, which can act as catalysts of change and, thus leading to sustained adoption of BIM. Therefore, the identified drivers and categorization of principal factors could provide managerial implications for better execution and adoption of BIM, as well as the creation of the required change for the BIM implementation. Originality/value The research provides insights into the implementation drivers of BIM in lesser studies in a developing country such as Nigeria. The study further contributes to this research sphere by using factor analysis to customize and contextualize the drivers that were previously identified.

Automated building information modeling for fault detection and diagnostics in commercial HVAC systems

Facilities ◽  
2016 ◽  
Vol 34 (3/4) ◽  
pp. 233-246 ◽  
Author(s):  
Alireza Golabchi ◽  
Manu Akula ◽  
Vineet Kamat
Keyword(s):  
Decision Making ◽  
Fault Detection ◽  
Building Information Modeling ◽  
Facility Management ◽  
Information Modeling ◽  
Hvac System ◽  
Content Type ◽  
Operational Life ◽  
Building Information

Purpose Organizations involved in facility management (FM) can use building information modeling (BIM) as a knowledge repository to document evolving facility information and to support decisions made by the facility managers during the operational life of a facility. Despite ongoing advances in FM technologies, FM practices in most facilities are still labor intensive, time consuming and often rely on unreliable and outdated information. To address these shortcomings, the purpose of this study is to propose an automated approach that demonstrates the potential of using BIM to develop algorithms that automate decision-making for FM applications. Design/methodology/approach A BIM plug-in tool is developed that uses a fault detection and diagnostics (FDD) algorithm to automate the process of detecting malfunctioning heating, ventilation, and air conditioning (HVAC) equipment. The algorithm connects to a complaint ticket database and automates BIM to determine potentially damaged HVAC system components and develops a plan of action for the facility inspectors accordingly. The approach has been implemented as a case study in an operating facility to improve the process of HVAC system diagnosis and repair. Findings By implementing the proposed application in a case study, the authors found that automated BIM approaches such as the one developed in this study, can be highly beneficial in FM practices by increasing productivity and lowering costs associated with decision-making. Originality/value This study introduces an innovative approach that leverages BIM for automated fault detection in operational buildings. FM personnel in charge of HVAC inspection and repair can highly benefit from the proposed approach, as it eliminates the time required to locate HVAC equipment at fault manually.

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