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Abdul-Aziz, A-R (2012) Control mechanisms exercised in Malaysian housing public-private partnerships. Construction Management and Economics, 30(01), 37–55.
Almufarrej, A M and Erfani, T (2023) Climate, buildings’ envelope design and energy patterns: improving energy performance of new buildings in Kuwait. Engineering, Construction and Architectural Management, 30(01), 172-88.
Amadi, A (2023) Integration in a mixed-method case study of construction phenomena: from data to theory. Engineering, Construction and Architectural Management, 30(01), 210-37.
Cattell, D W (2012) An overview of component unit pricing theory. Construction Management and Economics, 30(01), 81–92.
Davey, C L, Powell, J A, Powell, J E and Cooper, I (2002) Action learning in a medium-sized construction company. Building Research & Information, 30(01), 5–15.
Dou, Y, Sun, X, Ji, A, Wang, Y and Xue, X (2023) Development strategy for prefabricated construction projects: a tripartite evolutionary game based on prospect theory. Engineering, Construction and Architectural Management, 30(01), 105-24.
Feng, K, Chen, S, Lu, W, Wang, S, Yang, B, Sun, C and Wang, Y (2023) Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning. Engineering, Construction and Architectural Management, 30(01), 259-95.
- Type: Journal Article
- Keywords: construction planning; information and communication technology (ICT) applications; novel method; optimisation; simulation
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-02-2021-0114
- Abstract:
Purpose: Simulation-based optimisation (SO) is a popular optimisation approach for building and civil engineering construction planning. However, in the framework of SO, the simulation is continuously invoked during the optimisation trajectory, which increases the computational loads to levels unrealistic for timely construction decisions. Modification on the optimisation settings such as reducing searching ability is a popular method to address this challenge, but the quality measurement of the obtained optimal decisions, also termed as optimisation quality, is also reduced by this setting. Therefore, this study aims to develop an optimisation approach for construction planning that reduces the high computational loads of SO and provides reliable optimisation quality simultaneously. Design/methodology/approach: This study proposes the optimisation approach by modifying the SO framework through establishing an embedded connection between simulation and optimisation technologies. This approach reduces the computational loads and ensures the optimisation quality associated with the conventional SO approach by accurately learning the knowledge from construction simulations using embedded ensemble learning algorithms, which automatically provides efficient and reliable fitness evaluations for optimisation iterations. Findings: A large-scale project application shows that the proposed approach was able to reduce computational loads of SO by approximately 90%. Meanwhile, the proposed approach outperformed SO in terms of optimisation quality when the optimisation has limited searching ability. Originality/value: The core contribution of this research is to provide an innovative method that improves efficiency and ensures effectiveness, simultaneously, of the well-known SO approach in construction applications. The proposed method is an alternative approach to SO that can run on standard computing platforms and support nearly real-time construction on-site decision-making. © 2021, Kailun Feng, Shiwei Chen, Weizhuo Lu, Shuo Wang, Bin Yang, Chengshuang Sun and Yaowu Wang.
Gounder, S, Hasan, A, Shrestha, A and Elmualim, A (2023) Barriers to the use of sustainable materials in Australian building projects. Engineering, Construction and Architectural Management, 30(01), 189-209.
Gurung, N and Mahendran, M (2002) Comparative life cycle costs for new steel portal frame building systems. Building Research & Information, 30(01), 35–46.
Hosseinian, A H and Baradaran, V (2023) A two-phase approach for solving the multi-skill resource-constrained multi-project scheduling problem: a case study in construction industry. Engineering, Construction and Architectural Management, 30(01), 321-63.
Irfan, M, Khalid, R A, Kaka Khel, S S U H, Maqsoom, A and Sherani, I K (2023) Impact of work–life balance with the role of organizational support and job burnout on project performance. Engineering, Construction and Architectural Management, 30(01), 154-71.
Kus, H and Nygren, K (2002) Microenvironmental characterization of rendered autoclaved aerated concrete. Building Research & Information, 30(01), 25–34.
Lahdenperä, P (2012) Making sense of the multi-party contractual arrangements of project partnering, project alliancing and integrated project delivery. Construction Management and Economics, 30(01), 57–79.
Lee, J S (2023) Quantifying costs of the productivity loss due to schedule changes in construction projects. Engineering, Construction and Architectural Management, 30(01), 56-73.
Parchamijalal, M, Moradi, S and Zabihi Shirazi, M (2023) Claim management office maturity model (CMOMM) in project-oriented organizations in the construction industry. Engineering, Construction and Architectural Management, 30(01), 74-104.
Ruan, X, Ochieng, E G, Price, A D F and Egbu, C O (2012) Knowledge integration process in construction projects: a social network analysis approach to compare competitive and collaborative working. Construction Management and Economics, 30(01).
Salmaninezhad, M and Jazayeri Moghaddas, S M (2023) A multi-attribute approach to select the best method for repairing river bridge columns. Engineering, Construction and Architectural Management, 30(01), 1-18.
Sharifi, A A and Farahinia, A H (2023) A theoretical framework for developing the MAU model to determine the most appropriate use for historic buildings. Engineering, Construction and Architectural Management, 30(01), 238-58.
Shipworth, D T (2002) A stochastic framework for embodies greenhouse gas emissions modelling of construction materials. Building Research & Information, 30(01), 16–24.
Sorooshnia, E, Rashidi, M, Rahnamayiezekavat, P, Rezaei, F and Samali, B (2023) Optimum external shading system for counterbalancing glare probability and daylight illuminance in Sydney's residential buildings. Engineering, Construction and Architectural Management, 30(01), 296-320.
Tabish, S Z S and Jha, K N (2012) The impact of anti-corruption strategies on corruption free performance in public construction projects. Construction Management and Economics, 30(01), 21–35.
Tian, B, Wang, Z, Li, C and Fu, J (2023) Can relational governance improve sustainability in public-private partnership infrastructure projects? An empirical study based on structural equation modeling. Engineering, Construction and Architectural Management, 30(01), 19-40.
Xu, Y, Chong, H Y and Chi, M (2023) Modelling the blockchain adoption barriers in the AEC industry. Engineering, Construction and Architectural Management, 30(01), 125-53.
Yılmaz, F (2023) Analysis of the interaction between safety measures and workers' safety awareness from the construction workers' perspective. Engineering, Construction and Architectural Management, 30(01), 41-55.