Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 29 results ...
Anbar, D R, Chang, T, Deng, X and Mahmoud, M R I (2024) Implementing effective knowledge management in international construction projects by eliminating knowledge hiding. Journal of Construction Engineering and Management, 150(08).
Asadabadi, M R (2024) Project investment decisions: Comparison of nonmonetary benefits. Journal of Construction Engineering and Management, 150(08).
Bayona, A, Hallowell, M R and Bhandari, S (2024) The things that hurt people are not the same as the things that kill people: Key differences in the proximal causes of low- and high-severity construction injuries. Journal of Construction Engineering and Management, 150(08).
Bingol, B N, Arditi, D and Polat, G (2024) A performance-based subcontractor selection model. Journal of Construction Engineering and Management, 150(08).
Cao, J, Said, H, Savov, A and Hall, D (2024) Graph-based evolutionary search for optimal hybrid modularization of building construction projects. Journal of Construction Engineering and Management, 150(08).
Castelblanco, G and Guevara, J (2024) Stakeholder dynamics: Rethinking roles and responsibilities in user-pay transport PPP projects. Journal of Construction Engineering and Management, 150(08).
Eissa, R and El-Adaway, I H (2024) Accelerating the circular economy transition: A construction value chain-structured portfolio of strategies and implementation insights. Journal of Construction Engineering and Management, 150(08).
Han, J, Chen, C, Tiong, R L K, Wu, K and Chew, D K H (2024) Strategic workforce planning for production of prefabricated bathroom units: An advanced markovian approach. Journal of Construction Engineering and Management, 150(08).
- Type: Journal Article
- Keywords: Markov chains; offsite construction; prefabricated bathroom unit; strategic planning; workforce planning
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14514
- Abstract:
Producing prefabricated bathroom units (PBUs) involves a dry installation method that heavily relies on human labor. Therefore, strategically accomplishing efficient and agile workforce planning emphasizes the critical significance. However, previous studies that address workforce planning often overlook the long-term stochastic effects and assume a homogeneous workforce for the sake of computational simplicity. To overcome these limitations, this study adopts the Markovian approach to establish an explicit relationship between workforce cost and cycle time, considering a heterogeneous workforce and uncertain human-caused events. The proposed model has a hierarchical structure that addresses the behavioral tendencies that drive task allocation at the individual level and the aggregate effect of manpower allocation at the operation level. By integrating Little's law in queuing theory and metaheuristics optimization, the cycle time can be calculated while searching for the optimal workforce arrangement configuration. The study cross-validated the computational results with empirical data from a precast factory in Singapore and conducted a sensitivity analysis to verify the reliability. The results show that cross-training workers to multiple skills can lead to significant time savings, with a maximum of roughly 23 h saved in PBU cycle time. Ultimately, this research contributes to the body of knowledge by proposing a strategic workforce planning model that accounts for a heterogeneous workforce and uncertain human-caused events. It utilizes a partial cross-training configuration strategy to maximize productivity and flexibility for PBU production.
Hasan, M and Lu, M (2024) Mitigating project schedule risks by identifying subcritical paths and variance-critical activities. Journal of Construction Engineering and Management, 150(08).
Huo, X, Xu, X, Zhang, Y and Jiao, L (2024) Insight into the mechanism of noncompliance tasks in construction workers' unsafe behaviors. Journal of Construction Engineering and Management, 150(08).
Ismael, D and Shealy, T (2024) Reframing sustainability rating systems to emphasize interconnected benefits increases sustainable design practices among engineers. Journal of Construction Engineering and Management, 150(08).
Jeong, J and Jeong, J (2024) Sustainability in prefabricated construction: Enhancing multicriteria analysis and prediction using machine learning. Journal of Construction Engineering and Management, 150(08).
Li, M, Zheng, Q and Ashuri, B (2024) Application of artificial intelligence in design automation: A two-stage framework for structure configuration and design. Journal of Construction Engineering and Management, 150(08).
Liang, X, Rasheed, U, Cai, J, Wibranek, B and Awolusi, I (2024) Impacts of collaborative robots on construction work performance and worker perception: Experimental analysis of human-robot collaborative wood assembly. Journal of Construction Engineering and Management, 150(08).
Ma, J, Jiang, X, Zheng, D, Liao, X, Lu, J and Zhao, Y (2024) Transwallnet: High-performance semantic segmentation of large-scale and multifeatured point clouds of building gables. Journal of Construction Engineering and Management, 150(08).
Mansoor, A, Liu, S, Bouferguene, A and Al-Hussein, M (2024) Crane signalman hand-signal classification framework using sensor-based smart construction glove and machine-learning algorithms. Journal of Construction Engineering and Management, 150(08).
Mostofi, F, Tokdemir, O B, Toǧan, V and Arditi, D (2024) Predicting the cost of rework in high-rise buildings using graph convolutional networks. Journal of Construction Engineering and Management, 150(08).
Poirier, E A, Pavard, A and De Paula, N (2024) Determining factors influencing BIM adoption: A competency-driven approach. Journal of Construction Engineering and Management, 150(08).
Rathnayake, A, Murguia, D and Middleton, C (2024) Measuring activity-level construction productivity. Journal of Construction Engineering and Management, 150(08).
Saleem, M (2024) Internal damage detection in reinforced concrete member using ultrasonic pulse velocity nondestructive testing. Journal of Construction Engineering and Management, 150(08).
Salih, F and El-Adaway, I H (2024) Quantifying the impact of technology utilization on schedule and cost performance in construction projects. Journal of Construction Engineering and Management, 150(08).
Seyis, S and Ozkan, S (2024) Benefits and challenges of implementing the common data environments in the construction phase of BIM-based projects. Journal of Construction Engineering and Management, 150(08).
Shamsollahi, D, Moselhi, O and Khorasani, K (2024) Automated detection and segmentation of mechanical, electrical, and plumbing components in indoor environments by using the yolact++ architecture. Journal of Construction Engineering and Management, 150(08).
Triana-Granados, K V, Bernard, I R, Merlin, A, Lucko, G and Ballesteros-Pérez, P (2024) Graphical delay tracking for linear and repetitive schedules. Journal of Construction Engineering and Management, 150(08).
Ure, J D, South, A J, Farnsworth, C B, Bown, M and Thompson, N (2024) Enlarging the role of CEM professionals in corporate sustainability: ESG programs and the built environment. Journal of Construction Engineering and Management, 150(08).
Wang, H, Yi, W, Zhen, L and Chan, A P C (2024) Cost-optimized transport planning for prefabricated modules with the implementation of the just-in-time strategy. Journal of Construction Engineering and Management, 150(08).
Yue, H, Ye, G, Liu, Q, Yang, X, Xiang, Q and Luo, Y (2024) Impact of cognitive fatigue on attention and the implications for construction safety: A neuroscientific perspective. Journal of Construction Engineering and Management, 150(08).
Zheng, R, Li, Z, Li, L, Dou, Y, Yuan, M and Yin, X (2024) Proposing a lean-optimized scheduling model of mixed-flow prefabricated component production in off-site construction. Journal of Construction Engineering and Management, 150(08).
Zhong, B, Tian, J, Pan, X and Shen, L (2024) An online housing reputation assessment framework based on text mining and visualization technologies. Journal of Construction Engineering and Management, 150(08).