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Alashari, M, El-Rayes, K and Alotaibi, M (2023) Optimizing the planning of maintenance activities in education buildings. Journal of Construction Engineering and Management, 149(10).

Chang, R, He, T, Han, Y, Xue, R and Zhang, W E (2023) Geographical imbalance and influential characteristics of the green building market. Journal of Construction Engineering and Management, 149(10).

Cong, W, Goh, Y M, Zhang, S, Liang, H, Zhou, Z and Guo, N (2023) Linking leader-member exchange and informal safety communication of construction workers in China: A cognitive psychology perspective. Journal of Construction Engineering and Management, 149(10).

Dias Barkokebas, R and Li, X (2023) VR-ret: A virtual reality-based approach for real-time ergonomics training on industrialized construction tasks. Journal of Construction Engineering and Management, 149(10).

Elbashbishy, T and El-Adaway, I H (2023) System dynamic modeling to study the impact of construction industry characteristics and associated macroeconomic indicators on workforce size and labor retention rate. Journal of Construction Engineering and Management, 149(10).

Han, J, Gu, F and Wu, G (2023) Managing cooperation in multipartner project teams with heterogeneous team members. Journal of Construction Engineering and Management, 149(10).

Koc, K, Ekmekcioglu, Ö and Işlk, Z (2023) Developing a hybrid fuzzy decision-making model for sustainable circular contractor selection. Journal of Construction Engineering and Management, 149(10).

Lachance, E, Lehoux, N and Blanchet, P (2023) A simulation model to analyze different automation scenarios in a mixed-assembly manufacturing line: Timber-frame prefabrication industry. Journal of Construction Engineering and Management, 149(10).

  • Type: Journal Article
  • Keywords: automation; construction sector; prefabrication; simulation; timber
  • ISBN/ISSN: 0733-9364
  • URL: http://doi.org/10.1061/JCEMD4.COENG-13298
  • Abstract:
    As prefabrication of timber structures in the construction sector becomes part of the solution to overcome the housing and environmental crisis, the lack of efficiency of this industry needs to be addressed. This inefficiency, characterized by low production capacity, high costs, and large workforce, are in part due to the low adoption of automation and robotic technologies, caused by insufficient knowledge and research measuring the impact of these technologies. This paper aims to measure the efficiency of introducing automation in a prefabrication environment of timber-frame structures, through a decision analysis tool. Four layout types with varying automation levels are explored using simulation modeling, while KPIs are exploited to measure the efficiency of each production environment. A sensitivity analysis is conducted to assess the most performing layout if a new type of wall, requiring fewer tasks, is introduced in the product mix. A design of experiments (DOE) is also performed on the fourth layout, a fixed robotic cell with the highest level of automation, to assess the most influential variables. Results show a positive increase in worker, space, and production efficiency as the level of automation increase. This research contributes to the body of knowledge by providing a decision analysis tool supporting the choice of an optimized layout for the prefabrication of timber-frame walls (TFW). The findings and the decision analysis tool should provide solid grounds for future exploration of automation and practice in the field.

Saeed, F, Mostafa, K, Rauch, C and Hegazy, T (2023) Environmental impact and cost assessment for reusing waste during end-of-life activities on building projects. Journal of Construction Engineering and Management, 149(10).

Singh, V V and Tommelein, I D (2023) Visual workload leveling and zoning using work density method for construction process planning. Journal of Construction Engineering and Management, 149(10).

Tran, H, Robert, D, Gunarathna, P and Setunge, S (2023) Stochastic prediction of road network degradation based on field monitoring data. Journal of Construction Engineering and Management, 149(10).

Wu, S, Xie, H, Zeng, Z, Wang, M, Zhao, H and Liu, Y (2023) Influence of pea-gravel layer on segment ring support performance in shield TBM tunnels: A discrete-continuous coupling simulation and model test. Journal of Construction Engineering and Management, 149(10).