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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).
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).
- Type: Journal Article
- Keywords: data-driven optimization; decision-making under uncertainties; lean construction; modular integrated construction; production phase planning; production process optimization
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14420
- Abstract:
Phase planning is one of the most important components of lean-based production planning that provides basic guidelines for the entire production process. In modular integrated construction (MiC) projects, the complicated and drawn-out features of the manufacturing or production process pose difficulties for informed phase planning decisions under uncertainties. However, owing to the nascent nature of MiC, traditional approaches have little prior knowledge of the uncertainties. This research aimed to address this problem by proposing a data-driven optimization method based on a set of valuable historical production data to hedge against uncertainties during production. A real-life case study was then conducted to validate this optimization approach. The planning solution, including the (1) critical production path, (2) detailed production schedules, and (3) simulated production process, balances production schedules and uncertainties to ensure feasible and robust phase planning. This optimization method can make full use of historical production data rather than approximations of the probability distributions to handle uncertainties in the phase planning process. This research provides an innovative and robust solution for MiC production managers to efficiently conduct phase planning under uncertainties. It enriches the literature on phase planning and contributes to lean MiC manufacturing. The biggest novelty of this research is to open up a window for researchers and practitioners to look into MiC production in factories, which are traditionally like a "black box"unknown to us.
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).