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Anjomshoa, E (2024) Key performance indicators of construction companies in branding products and construction projects for success in a competitive environment in Iran. Engineering, Construction and Architectural Management, 31(05), 2151-75.
Arora, M, Prakash, A, Mittal, A and Singh, S (2024) Examining the slow acceptance of HR analytics in the Indian engineering and construction industry: a SEM-ANN-based approach. Engineering, Construction and Architectural Management, 31(05), 1973-93.
Aslam, M, Baffoe-Twum, E and Malik, S (2024) Benchmarking lean construction conformance in Pakistan’s construction industry. Engineering, Construction and Architectural Management, 31(05), 2077-100.
Chan, I Y S and Chen, H (2024) Towards an integrative analysis of underground environment and human health: a survey and field measurement approach. Engineering, Construction and Architectural Management, 31(05), 1807-34.
Cole-Colander, C (2003) Designing the Customer Experience. Building Research & Information, 31(05), 357–66.
Cong, W, Zhang, S, Liang, H and Xiang, Q (2024) Impact of challenge and hindrance job stressors on informal safety communication of construction workers in China: the moderating role of co-worker relationship. Engineering, Construction and Architectural Management, 31(05), 2011-33.
Cooper, R, Bruce, M, Wootton, A, Hands, D and Daly, L (2003) Managing design in the extended enterprise. Building Research & Information, 31(05), 367–78.
Espinoza, D and Morris, J W F (2013) Decoupled NPV: a simple, improved method to value infrastructure investments. Construction Management and Economics, 31(05), 471-96.
Fazeli, A, Banihashemi, S, Hajirasouli, A and Mohandes, S R (2024) Automated 4D BIM development: the resource specification and optimization approach. Engineering, Construction and Architectural Management, 31(05), 1896-922.
- Type: Journal Article
- Keywords: 4D; BIM; construction resource; optimization algorithms; time estimation
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-07-2022-0665
- Abstract:
Purpose: This research aims to develop an automated and optimization algorithms (OAs)-integrated 4D building information modeling (BIM) approach and a prototype and enable construction managers and practitioners to estimate the time of compound elements in building projects using the resource specification technique. Design/methodology/approach: A 4D BIM estimation process was first developed by applying the resource specification and geometric information from the BIM model. A suite of OA including particle swarm optimization, ant colony, differential evolution and genetic algorithm were developed and compared in order to facilitate and automate the estimation process. The developed processes and porotypes were linked and integrated. Findings: The OA-based automated 4D BIM estimation prototype was developed and validated through a real-life construction project. Different OAs were applied and compared, and the genetic algorithm was found as the best performing one. The prototype was successfully linked with BIM timeliner application. By using this approach, the start and finish dates of all object-based activities are developed, and the project completion time is automatically estimated. Originality/value: Unlike conventional construction estimation methods which need various tools and are error prone and time-consuming, the developed method bypasses the existing time estimation tools and provides the integrated and automated process with BIM and machine learning algorithms. Furthermore, this approach integrates 4D BIM applications into construction design procedures, connected with OA automation. © 2022, Emerald Publishing Limited.
Fellows, R and Liu, A M M (2013) Use and misuse of the concept of culture. Construction Management and Economics, 31(05), 401-22.
Gann, D M, Salter, A J and Whyte, J K (2003) Design Quality Indicator as a tool for thinking. Building Research & Information, 31(05), 318–33.
Ghansah, F A, Lu, W and Ababio, B K (2024) Modelling the critical challenges of quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic. Engineering, Construction and Architectural Management, 31(05), 2128-50.
Gibson, E G and Gebken, R J (2003) Design quality in pre-project planning: applications of the Project Definition Rating Index. Building Research & Information, 31(05), 346–56.
Goh, Y M and Chua, D (2013) Neural network analysis of construction safety management systems: a case study in Singapore. Construction Management and Economics, 31(05), 460-70.
Guo, Y, Liu, J, Chen, C, Luo, X and Martek, I (2024) PPP project price mode typologies: a China-based comparative case study. Engineering, Construction and Architectural Management, 31(05), 2034-52.
Han, Y, Shen, J, Zhu, X, An, B and Bao, X (2024) Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework. Engineering, Construction and Architectural Management, 31(05), 2101-27.
Hansen, K L and Vanegas, J A (2003) Improving design quality through briefing automation. Building Research & Information, 31(05), 379–86.
Hu, Y, Song, J and Zhao, T (2024) Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects. Engineering, Construction and Architectural Management, 31(05), 1835-56.
Huang, W, Zhong, D and Chen, Y (2024) The relationship between construction workers’ emotional intelligence and safety performance. Engineering, Construction and Architectural Management, 31(05), 2176-201.
Li, H, Chen, Y, Zheng, J, Fang, Y, Yang, Y, Skitmore, M, Rusch, R and Jiang, T (2024) The influence of the psychological contract on the safety of performance of construction workers in China. Engineering, Construction and Architectural Management, 31(05), 1879-95.
Liao, L, Ye, Y, Wei, N, Li, H and Fan, C (2024) Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China. Engineering, Construction and Architectural Management, 31(05), 2053-76.
Odeyinka, H A, Lowe, J and Kaka, A P (2013) Artificial neural network cost flow risk assessment model. Construction Management and Economics, 31(05), 423-39.
Onubi, H O, Carpio, M and Hassan, A S (2024) Job satisfaction in green construction projects: antecedent roles of green work climate, pro-environmental construction practice and green human capital. Engineering, Construction and Architectural Management, 31(05), 1857-78.
Orr, S and Jadhav, A (2024) The effect of construction sustainability system interactions on financial performance: a sociotechnical perspective. Engineering, Construction and Architectural Management, 31(05), 1923-46.
Pinder, J, Iii, R S and Saker, J (2013) Stakeholder perspectives on developing more adaptable buildings. Construction Management and Economics, 31(05), 440-59.
Thomson, D S, Austin, S A, Devine-Wright, H and Mills, G R (2003) Managing value and quality in design. Building Research & Information, 31(05), 334–45.
Tiew, S Y (2024) Factors affecting performance of graduate architects in contract implementation management: a case study on housing projects in Malaysia. Engineering, Construction and Architectural Management, 31(05), 1789-806.
Wang, D, Luo, J and Wang, Y (2024) Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis. Engineering, Construction and Architectural Management, 31(05), 1994-2010.
Whyte, J K and Gann, D M (2003) Design Quality Indicators: work in progress. Building Research & Information, 31(05), 387–98.
Wu, X, Qian, Q and Zhang, M (2024) Impact of supervisor leadership on construction worker safety behavior in China: the moderating role of social capital. Engineering, Construction and Architectural Management, 31(05), 1947-72.