- Please check and comment entries here.
Building Information Modelling and Project-Lifecycle
The Architecture, Engineering, Construction and Operations (AECO) industry constitutes a cornerstone of a country’s economy and is predicted to account for circa 15% of the World’s Gross Domestic Product (GDP) by 2030. Construction outputs create critical infrastructure and buildings that cumulatively constitute the built environment which provides the basis for society and other industries to flourish; hence, the economic contribution is perhaps greater than the estimated “direction” contribution to the GDP. Annually, the AECO industry is responsible for nearly 40% of the total energy use, 32% of CO2 emissions and 25% of the generated waste in Europe. Furthermore, in many developing countries, the construction industry has undergone substantial fluctuations to accomplish its local economic objectives. As a result, many developing countries’ financial procedures are in the process of improvement. In these countries, construction projects frequently face several time-schedule delays. Furthermore, the industry is faced with numerous productivity issues stemming from the lack of adoption of emerging technologies or concepts such as Building Information Modelling (BIM), blockchain, Internet of Things (IoT) and Industry 4.0. As a result, the construction industry in developing countries does not achieve government goals for society and clients, and a need for developing “overall success construction projects” that are resource-efficient has been underlined in the literature.
2. BIM and Project Lifecycle
|Building System Analysis||AW8|
2.1. Design Stage
2.2. Construction Stage
2.3. Operation Stage
3. Drivers of BIM
|Construction planning and monitoring||D13|
|Synchronized design and construction planning||D12|
|Facilities management record model||D14|
|Improved decision-making process||D11|
|Improved productivity and collaboration||D10|
|Process-digitalization- and economics-related driver|
|BIM-enabled estimating capabilities||D2|
|Controlled whole-life costs and environmental data||D4|
|Potential economic benefits||D3|
|Sustainability- and efficiency-related driver|
|Green building standards incorporation||D6|
|Increased efficiency and coordination||D9|
|Improved customer service||D7|
|Visualization- and productivity-related driver|
|Construction process visualization||D1|
|Improved quality and increased sustainability||D5|
The entry is from 10.3390/su13168887
- Olugboyega, O.; Edwards, D.J.; Windapo, A.O.; Omopariola, E.D.; Martek, I. Development of a conceptual model for evaluating the success of BIM-based construction projects. Smart Sustain. Built Environ. 2020.
- NBS. NBS National BIM Report. 2014. Available online: https://www.thenbs.com/knowledge/nbs-national-bim-report-2014 (accessed on 30 January 2021).
- NBS. NBS National BIM Report. 2019. Available online: https://www.thenbs.com/knowledge/national-bim-report-2019 (accessed on 30 January 2021).
- McGraw-Hill. The Business Value of BIM in Australia and New Zealand: How Building Information Modelling Is Transforming the Design and Construction Industry. Available online: https://download.autodesk.com/temp/pdf/mcgraw_hill_business_value_of_bim_anz.pdf (accessed on 30 January 2021).
- Rodgers, C.; Hosseini, M.R.; Chileshe, N.; Rameezdeen, R. Building information modelling (BIM) within the Australian construction related small and medium sized enterprises: Awareness, practices and drivers. In Proceedings of the ARCOM 2015 31st Annual Conference of the Association of Researchers in Construction Management, Lincoln, UK, 7–9 September 2015; pp. 691–700.
- Tookey, J.E. Shaving BIM: Establishing A Framework for Future BIM Research in New Zealand. Int. J. Constr. Supply Chain. Manag. 2012, 2, 66–79.
- Anifowose, O.M.; Babarinde, S.A.; Olanrewaju, O.I. Adoption level of building information modelling by selected professionals in Kwara state. Environ. Technol. Sci. J. 2018, 9, 35–44.
- Ogunmakinde, O.E.; Umeh, S. Adoption of BIM in the Nigerian Architecture Engineering and Construction (AEC) Industry. Available online: https://www.researchgate.net/publication/328031625_Adoption_of_BIM_in_the_Nigerian_Architecture_Engineering_and_Construction_AEC_Industry (accessed on 30 January 2021).
- Olanrewaju, O.; Babarinde, S.A.; Salihu, C. Current State of Building Information Modelling in the Nigerian Construction Industry. J. Sustain. Archit. Civ. Eng. Geod. 2020, 27, 63–77.
- Onungwa, I.O.; Uduma-Olugu, N. Building information modelling and collaboration in the Nigerian construction industry. J. Constr. Bus. Manag. Prod. Eng. Rev. 2017, 1, 1–10.
- Olapade, D.T.; Ekemode, B.G. Awareness and utilisation of building information modelling (BIM) for facility management (FM) in a developing economy: Experience from Lagos, Nigeria. J. Facil. Manag. 2018, 16, 387–395.
- Gamil, Y.; Rahman, I.A.R. Awareness and challenges of building information modelling (BIM) implementation in the Yemen construction industry. J. Eng. Des. Technol. 2019, 17, 1077–1084.
- Ismail, N.A.A.; Chiozzi, M.; Drogemuller, R. An Overview of BIM Uptake in Asian Developing Countries. Available online: https://www.researchgate.net/publication/321079523_An_overview_of_BIM_uptake_in_Asian_developing_countries (accessed on 10 January 2021).
- Mehran, D. Exploring the Adoption of BIM in the UAE Construction Industry for AEC Firms. Procedia Eng. 2016, 145, 1110–1118.
- Shibani, A.; Ghostin, M.; Hassan, D.; Saidani, M.; Agha, A. Exploring the Impact of Implementing Building Information Modelling to Support Sustainable Development in the Lebanese Construction Industry: A Qualitative Approach. J. Mech. Civ. Eng. Geod. 2021, 7, 33–62.
- Akinradewo, O.; Oke, A.; Aigbavboa, C.; Molau, M. Assessment of the Level of Awareness of Robotics and Construction Automation in South African. In Collaboration and Integration in Construction, Engineering, Management and Technology; Springer: New York, NY, USA, 2021; pp. 129–132.
- Raouf, A.M.; Al-Ghamdi, S.G. Building information modelling and green buildings: Challenges and opportunities. Archit. Eng. Des. Manag. 2019, 15, 1–28.
- Xu, X.; Ma, L.; Ding, L. A framework for BIM-enabled life-cycle information management of construction project. Int. J. Adv. Robot. Syst. 2014, 11, 126.
- Olanrewaju, O.I.; Babarinde, S.A.; Chileshe, N.; Sandanayake, M. Drivers for implementation of building information modeling (BIM) within the Nigerian construction industry. J. Financ. Manag. Prop. Constr. Econ. Build. 2021.
- Pärn, E.; Edwards, D.; Sing, M.C. Origins and probabilities of MEP and structural design clashes within a federated BIM model. Autom. Constr. 2018, 85, 209–219.
- Chahrour, R.; Hafeez, M.A.; Ahmad, A.M.; Sulieman, H.I.; Dawood, H.; Rodriguez-Trejo, S.; Kassem, M.; Naji, K.K.; Dawood, N. Cost-benefit analysis of BIM-enabled design clash detection and resolution. Constr. Manag. Econ. 2021, 39, 55–72.
- McNamara, A.J.; Sepasgozar, S.M. Intelligent contract adoption in the construction industry: Concept development. Autom. Constr. 2021, 122, 103452.
- Badi, S.; Ochieng, E.; Nasaj, M.; Papadaki, M. Technological, organisational and environmental determinants of smart contracts adoption: UK construction sector viewpoint. Constr. Manag. Econ. 2021, 39, 36–54.
- Cheng, J.C.; Chen, W.; Chen, K.; Wang, Q. Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms. Autom. Constr. 2020, 112, 103087.
- Eastman, C.M.; Eastman, C.; Teicholz, P.; Sacks, R.; Liston, K. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, 2nd ed; John Wiley & Sons: Hoboken, NJ, USA, 2011.
- Almukhtar, A.; Saeed, Z.O.; Abanda, H.; Tah, J.H. Reality capture of buildings using 3D laser scanners. Civ. Eng. 2021, 2, 214–235.
- Ham, Y.; Golparvar-Fard, M. Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling. Autom. Constr. 2015, 49, 214–224.
- Sanhudo, L.; Ramos, N.M.; Martins, J.P.; Almeida, R.M.; Barreira, E.; Simões, M.L.; Cardoso, V. A framework for in-situ geometric data acquisition using laser scanning for BIM modelling. J. Build. Eng. 2020, 28, 101073.
- Lagüela, S.; Díaz-Vilariño, L.; Armesto, J.; Arias, P. Non-destructive approach for the generation and thermal characterization of an as-built BIM. Constr. Build. Mater. 2014, 51, 55–61.
- Sanhudo, L.; Ramos, N.M.; Martins, J.P.; Almeida, R.M.; Barreira, E.; Simões, M.L.; Cardoso, V. Building information modeling for energy retrofitting—A review. Renew. Sustain. Energy Rev. 2018, 89, 249–260.
- Edwards, D.J.; Pärn, E.; Love, P.E.; El-Gohary, H. Research note: Machinery, manumission, and economic machinations. J. Bus. Res. 2017, 70, 391–394.
- Sun, L.; Pei, A.; Qi, X.; Cao, S.; Yang, R.; Liu, X. Dynamic Analysis of Digital Twin System Based on Five-Dimensional Model. In Proceedings of the Journal of Physics: Conference Series, Chengdu, China, 13–15 December 2019; p. 072038.
- Aheleroff, S.; Xu, X.; Zhong, R.Y.; Lu, Y. Digital twin as a service (DTaaS) in industry 4.0: An architecture reference model. Adv. Eng. Inform. 2021, 47, 101225.
- Saka, A.B.; Chan, D.W. A scientometric review and metasynthesis of building information modelling (BIM) research in Africa. Buildings 2019, 9, 85.
- Chan, D.W.; Olawumi, T.O.; Ho, A.M. Perceived benefits of and barriers to Building Information Modelling (BIM) implementation in construction: The case of Hong Kong. J. Build. Eng. 2019, 25, 100764.
- Cavka, H.B.; Staub-French, S.; Poirier, E.A. Developing owner information requirements for BIM-enabled project delivery and asset management. Autom. Constr. 2017, 83, 169–183.
- Nieto-Julián, J.E.; Lara, L.; Moyano, J.J.S. Implementation of a TeamWork-HBIM for the Management and Sustainability of Architectural Heritage. Sustainability 2021, 13, 2161.
- Stransky, M.; Dlask, P. Process of matching work items between bim model and cost estimating software. Eng. Rural. Dev. 2018, 17, 856–864.
- Nagalingam, G.; Jayasena, H.S.; Ranadewa, K. Building information modelling and future quantity surveyor’s practice in Sri Lankan construction industry. In Proceedings of the Second World Construction Symposium, Colombo, Sri Lanka, 14–15 June 2013; pp. 81–92.
- Chileshe, N.; Jayasinghe, R.S.; Rameezdeen, R. Information flow-centric approach for reverse logistics supply chains. Autom. Constr. 2019, 106, 102858.
- Wu, J.; Lepech, M.D. Incorporating multi-physics deterioration analysis in building information modeling for life-cycle management of durability performance. Autom. Constr. 2020, 110, 103004.
- Amarasinghe, I.A.; Soorige, D.; Geekiyanage, D. Comparative study on Life Cycle Assessment of buildings in developed countries and Sri Lanka. Built Environ. Proj. Asset Manag. 2021.
- Lin, Y.-C.; Hsu, Y.-T. Enhancing the Visualization of Problems Tracking and Management Integrated BIM Technology for General Contractor in Construction. In Collaboration and Integration in Construction, Engineering, Management and Technology; Springer: New York, NY, USA, 2021; pp. 427–432.