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Costa, L, Barbosa, M B A, Baldam, R d L and Coelho, T d P (2019) Challenges of Process Modeling in Architecture and Engineering to Execute Projects and Public Works. Journal of Construction Engineering and Management, 145(01).
Han, Y, Feng, Z, Zhang, J, Jin, R and Aboagye-Nimo, E (2019) Employees’ Safety Perceptions of Site Hazard and Accident Scenes. Journal of Construction Engineering and Management, 145(01).
Jeelani, I, Albert, A, Han, K and Azevedo, R (2019) Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology. Journal of Construction Engineering and Management, 145(01).
Lee, C, Won, J and Lee, E (2019) Method for Predicting Raw Material Prices for Product Production over Long Periods. Journal of Construction Engineering and Management, 145(01).
Lee, J and Hyun, H (2019) Multiple Modular Building Construction Project Scheduling Using Genetic Algorithms. Journal of Construction Engineering and Management, 145(01).
- Type: Journal Article
- Keywords: Modular building construction; Scheduling optimization; Genetic algorithm; Multiple projects; Sequences of production and on-site installation;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001585
- Abstract:
Modular construction offers several advantages, such as safe working conditions, fast construction, and high-quality end products. The project scheduling of modular construction should consider the time involved in the factory production, transportation, and erection processes of the units given limited resources (e.g., the number of modular units, available transportation, and workers) and project restrictions (e.g., the sequences of manufacturing production and on-site installation). However, current modular construction project scheduling techniques and previous academic approaches cannot deal with the overall project processes and production/on-site installation sequences simultaneously. This is one reason few mass-production multiple projects exist in the manufacturing industry. Moreover, it can lead to inappropriate project management guidelines and fail to minimize the overall project duration. This paper suggests a model for modular construction projects scheduling using a genetic algorithm. The results show that implementing both overall project processes and project requirements is an efficient way to develop a modular construction project schedule. The proposed optimization tool will help project managers allocate resources efficiently and reduce the completion time of multiple projects.
Nasirian, A, Arashpour, M and Abbasi, B (2019) Critical Literature Review of Labor Multiskilling in Construction. Journal of Construction Engineering and Management, 145(01).
Ryu, J, Seo, J, Jebelli, H and Lee, S (2019) Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker. Journal of Construction Engineering and Management, 145(01).
Tang, W, Cui, Q, Zhang, F and Chen, Y (2019) Urban Rail-Transit Project Investment Benefits Based on Compound Real Options and Trapezoid Fuzzy Numbers. Journal of Construction Engineering and Management, 145(01).
Techera, U, Hallowell, M and Littlejohn, R (2019) Worker Fatigue in Electrical-Transmission and Distribution-Line Construction. Journal of Construction Engineering and Management, 145(01).
Zhang, M, Cao, T and Zhao, X (2019) Using Smartphones to Detect and Identify Construction Workers’ Near-Miss Falls Based on ANN. Journal of Construction Engineering and Management, 145(01).
Zhang, S, Liu, X, Gao, Y and Ma, P (2019) Effect of Level of Owner-Provided Design on Contractor’s Design Quality in DB/EPC Projects. Journal of Construction Engineering and Management, 145(01).
Zhang, Y, Luo, H, Skitmore, M, Li, Q and Zhong, B (2019) Optimal Camera Placement for Monitoring Safety in Metro Station Construction Work. Journal of Construction Engineering and Management, 145(01).