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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).
- Type: Journal Article
- Keywords: circular construction; circular economy; contractor selection; hydropower projects; multicriteria decision analysis
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13305
- Abstract:
The construction sector accounts for a significant proportion of natural resource consumption and waste generation. This reveals the essentiality for gravitating the operations in the industry toward more sustainable paradigms. To tackle these concerns, the circular economy (CE) model has become a central concept to render conventional production and consumption behaviors in construction projects into innovative and sustainable patterns. In construction projects, selecting the most competent contractor is of paramount importance. Hence, the present research seeks to establish a comprehensive evaluation framework for sustainable circular contractor selection based on a hybrid fuzzy multicriteria decision-making (MCDM) approach. In this respect, the fuzzy analytical hierarchy process (AHP) was adopted for assessing the CE indicators, while the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was utilized for evaluating circularity and eligibility of contractors. The utility of the proposed framework was predicated with regard to hydropower projects due to several environmental challenges encountered in the corresponding subsector. The results show that the contractors can be circular only if they have strong financial viability, develop strategies to implement ReSOLVE (regenerate, share, optimize, loop, virtualize, exchange), adopt specific construction methods to CE (e.g., modular construction), and propose sustainable innovative solutions. Overall, the proposed hybrid fuzzy MCDM framework can be used as a more systematic and transparent approach for selecting the most circular and sustainable contractors, contributing to the preservation of earth's resources. Given the current contractors' limited capacity to address circularity and sustainability concerns, the findings of this study can be regarded as a roadmap and contributes to practice by achieving circular and sustainable construction objectives with waste reduction, cost savings, and environmental benefits.
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).
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).