Analysis of the Schedule Risk of Prefabricated Buildings Based on ISM and Research of Transfer Path
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Doi: 10.28991/CEJ-2022-08-01-010
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Wang, Z.-L., Shen, H.-C., & Zuo, J. (2019). Risks in Prefabricated Buildings in China: Importance-Performance Analysis Approach. Sustainability, 11(12), 3450. doi:10.3390/su11123450.
Yuan, Z., Sun, C., & Wang, Y. (2018). Design for Manufacture and Assembly-oriented parametric design of prefabricated buildings. Automation in Construction, 88, 13–22. doi:10.1016/j.autcon.2017.12.021.
Khalili, A., & Chua, D. K. (2014). Integrated Prefabrication Configuration and Component Grouping for Resource Optimization of Precast Production. Journal of Construction Engineering and Management, 140(2), 04013052. doi:10.1061/(asce)co.1943-7862.0000798.
Priestley, M. J. N., Sritharan, S. S., Conley, J. R., & Pampanin, S. (1999). Preliminary results and conclusions from the PRESSS five-story precast concrete test building. PCI Journal, 44(6), 42–67. doi:10.15554/pcij.11011999.42.67.
Tory, M., Staub-French, S., Huang, D., Chang, Y. L., Swindells, C., & Pottinger, R. (2013). Comparative visualization of construction schedules. Automation in Construction, 29, 68–82. doi:10.1016/j.autcon.2012.08.004.
Kim, K., Kim, G., Kim, K., Lee, Y., & Kim, J. (2009). Real-time progress management system for steel structure construction. Journal of Asian Architecture and Building Engineering, 8(1), 111–118. doi:10.3130/jaabe.8.111.
Luu, V. T., Kim, S. Y., Tuan, N. Van, & Ogunlana, S. O. (2009). Quantifying schedule risk in construction projects using Bayesian belief networks. International Journal of Project Management, 27(1), 39–50. doi:10.1016/j.ijproman.2008.03.003.
Castro-Lacouture, D., Süer, G. A., Gonzalez-Joaqui, J., & Yates, J. K. (2009). Construction Project Scheduling with Time, Cost, and Material Restrictions Using Fuzzy Mathematical Models and Critical Path Method. Journal of Construction Engineering and Management, 135(10), 1096–1104. doi:10.1061/(asce)0733-9364(2009)135:10(1096).
Bi, H., Lu, F., Duan, S., Huang, M., Zhu, J., & Liu, M. (2020). Two-level principal–agent model for schedule risk control of IT outsourcing project based on genetic algorithm. Engineering Applications of Artificial Intelligence, 91, 103584. doi:10.1016/j.engappai.2020.103584.
Chen, L., Lu, Q., Li, S., He, W., & Yang, J. (2021). Bayesian Monte Carlo Simulation–Driven Approach for Construction Schedule Risk Inference. Journal of Management in Engineering, 37(2), 04020115. doi:10.1061/(asce)me.1943-5479.0000884.
Xu, X., Wang, J., Li, C. Z., Huang, W., & Xia, N. (2018). Schedule risk analysis of infrastructure projects: A hybrid dynamic approach. Automation in Construction, 95, 20–34. doi:10.1016/j.autcon.2018.07.026.
Li, C. Z., Hong, J., Fan, C., Xu, X., & Shen, G. Q. (2018). Schedule delay analysis of prefabricated housing production: A hybrid dynamic approach. Journal of Cleaner Production, 195, 1533–1545. doi:10.1016/j.jclepro.2017.09.066.
Arashpour, M., Wakefield, R., Lee, E. W. M., Chan, R., & Hosseini, M. R. (2016). Analysis of interacting uncertainties in on-site and off-site activities: Implications for hybrid construction. International Journal of Project Management, 34(7), 1393–1402. doi:10.1016/j.ijproman.2016.02.004.
Ji, Y., Qi, L., Liu, Y., Liu, X., Li, H. X., & Li, Y. (2018). Assessing and prioritising delay factors of prefabricated concrete building projects in China. Applied Sciences (Switzerland), 8(11), 2324. doi:10.3390/app8112324.
Zhao, Y., Chen, W., Arashpour, M., Yang, Z., Shao, C., & Li, C. (2021). Predicting delays in prefabricated projects: SD-BP neural network to define effects of risk disruption. Engineering, Construction and Architectural Management. doi:10.1108/ECAM-12-2020-1050.
Tokdemir, O. B., Erol, H., & Dikmen, I. (2019). Delay Risk Assessment of Repetitive Construction Projects Using Line-of-Balance Scheduling and Monte Carlo Simulation. Journal of Construction Engineering and Management, 145(2), 04018132. doi:10.1061/(asce)co.1943-7862.0001595.
Abuzeinab, A., Arif, M., & Qadri, M. A. (2017). Barriers to MNEs green business models in the UK construction sector: An ISM analysis. Journal of Cleaner Production, 160, 27–37. doi:10.1016/j.jclepro.2017.01.003.
Sarhan, J. G., Xia, B., Fawzia, S., Karim, A., Olanipekun, A. O., & Coffey, V. (2020). Framework for the implementation of lean construction strategies using the interpretive structural modelling (ISM) technique: A case of the Saudi construction industry. Engineering, Construction and Architectural Management, 27(1), 1–23. doi:10.1108/ECAM-03-2018-0136.
Gan, X., Chang, R., Zuo, J., Wen, T., & Zillante, G. (2018). Barriers to the transition towards off-site construction in China: An Interpretive structural modeling approach. Journal of Cleaner Production, 197(PT1), 8–18. doi:10.1016/j.jclepro.2018.06.184.
Liu, H., Skibniewski, M. J., & Wang, M. (2016). Identification and hierarchical structure of critical success factors for innovation in construction projects: Chinese perspective. Journal of Civil Engineering and Management, 22(3), 401–416. doi:10.3846/13923730.2014.975739.
Wang, L., Ma, L., Wu, K. J., Chiu, A. S. F., & Nathaphan, S. (2018). Applying fuzzy interpretive structural modeling to evaluate responsible consumption and production under uncertainty. Industrial Management and Data Systems, 118(2), 432–462. doi:10.1108/IMDS-03-2017-0109.
DOI: 10.28991/CEJ-2022-08-01-010
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