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Abdel Aziz, A M (2024) Statistical analysis and representation models of calendar-day liquidated damages. Journal of Construction Engineering and Management, 150(06).
Cao, N and Cheung, S O (2024) Voluntary mediation as a tenable resolution mechanism for construction disputes. Journal of Construction Engineering and Management, 150(06).
Cui, L Z, Liu, J, Luo, H, Wang, J, Zhang, X, Lv, G and Xie, Q (2024) Deformation measurement of tunnel shotcrete liner using the multiepoch lidar point clouds. Journal of Construction Engineering and Management, 150(06).
Han, Y, Soomro, M A, Li, Y, Garvin, M J and Xue, R (2024) Exploring farmers' willingness to engage in participatory irrigation infrastructure programs: Evidence from a water-stressed region. Journal of Construction Engineering and Management, 150(06).
Houng, S C, Pal, A and Lin, J J (2024) 4D BIM and reality model-driven camera placement optimization for construction monitoring. Journal of Construction Engineering and Management, 150(06).
Jin, Z, Gambatese, J A and Nnaji, C (2024) Musculoskeletal disorder risk assessment in modern ready-made concrete formwork construction. Journal of Construction Engineering and Management, 150(06).
Kim, J, Chung, S and Chi, S (2024) Cross-lingual information retrieval from multilingual construction documents using pretrained language models. Journal of Construction Engineering and Management, 150(06).
Kim, S, Ghimire, P, Jeong, H D and Barutha, P (2024) Comparative analysis of project risks across construction sectors. Journal of Construction Engineering and Management, 150(06).
Liu, G, Ma, Z, Li, J, Li, S, Zhou, X and Song, Y (2024) Framework of digital lean construction and implementation of its management platform for the construction phase. Journal of Construction Engineering and Management, 150(06).
Liu, W, Zhang, J, Qu, C and Zhang, H (2024) Performance of priority rules for finance-based and resource-constrained project scheduling heuristics. Journal of Construction Engineering and Management, 150(06).
Masood, R, Roy, K, Gonzalez, V A and Lim, J B P (2024) Ameliorating supply chains of prefabricated housebuilding: An integrated performance framework. Journal of Construction Engineering and Management, 150(06).
- Type: Journal Article
- Keywords: industrialized housebuilding; integrated performance framework; off-site construction; organizational performance; prefabricated housebuilding; principal component bodies; suppliers; supply chain management; supply chains
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14404
- Abstract:
Prefabricated construction has proven sustainability and affordability through innovative solutions. Prefabricated housebuilding companies, as supply entities, play a vital role toward successful projects using prefabricated products. Many companies go into liquidation due to poor performance. Supply chain management performance is linked with organizational performance in the manufacturing domain. However, there is no performance framework to date for prefabricated housebuilding companies using supply chain management theory. The purpose of this study is to identify the supply chain management interventions in prefabricated housebuilding research and report relevant key performance indicators based on empirical evidence. These indicators were classified under performance dimensions and supply chain processes. These indicators were then checked for relevancy with subject matter by academic and industry experts engaged in prefabricated construction research and practice, respectively. Later an industry-wide Likert scale-based survey was conducted with experienced experts in practice, involved in the prefabricated construction business, for validation of the proposed framework. This study reports 40 key performance indicators, ranked under six principal component bodies of supply chain management, with low to high ranges from marketing to strategic management. The purposive selection is used for industry consultation with experts having practical experience. Survey results show all the indicators are highly significant except "Supplier driven strategy"which is still under a medium range of relative importance index. The top six key performance indicators are "Collaborative networking,""Quality assurance,""Entrepreneurial cognition,""Geographical proximity,""Intellectual property,"and "Relationship marketing."The performance framework is suitable for vertically integrated companies involved in design, manufacturing, and construction. The qualitative nature of this framework is highly useful, with implementation ease, for companies to benchmark and gauge performance in a competitive market. This study explored the general supply chain management theoretical intervention for the development of an integrated performance framework as only specific elements were considered previously.
Shen, J, Liu, S and Zhang, J (2024) Using text mining and Bayesian network to identify key risk factors for safety accidents in metro construction. Journal of Construction Engineering and Management, 150(06).
Shi, Q, Wang, Z and Zhu, J (2024) Developing collaborative driving mechanism of prefabricated buildings using multiagent stochastic evolutionary game. Journal of Construction Engineering and Management, 150(06).
Wang, W, Hao, S, Zhong, H and Sun, Z (2024) Toward sustainable construction: Optimizing carbon emission reduction in the building supply chain through game-theoretic strategies, government subsidies, and cost-sharing contract. Journal of Construction Engineering and Management, 150(06).
Wu, H, Zhang, P, Li, H, Zhong, B, Guo, S, Fung, I W H and Lee, Y Y (2024) Blockchain impact on construction quality management and its adoption analysis: A game theory-based method. Journal of Construction Engineering and Management, 150(06).
Yang, Z and Lu, W (2024) Lean modular integrated construction production phase planning under uncertainties: A big data-driven optimization approach. Journal of Construction Engineering and Management, 150(06).
Zeberga, M S, Haaskjold, H and Hussein, B (2024) Digital technologies for preventing, mitigating, and resolving contractual disagreements in the AEC industry: A systematic literature review. Journal of Construction Engineering and Management, 150(06).
Zhang, F, Liu, H, Chen, Z, Wang, L, Zhang, Q and Guo, L (2024) Collision risk warning model for construction vehicles based on YOLO and DeepSORT algorithms. Journal of Construction Engineering and Management, 150(06).