Work–Rest Schedule Optimization of Precast Production Considering Workers’ Overexertion
Publication: Journal of Construction Engineering and Management
Volume 150, Issue 5
Abstract
The production process of precast components is labor-intensive, involving various manual tasks. The physically demanding tasks usually result in fatigue and overexertion of workers, leading to increased occupational health risks and reduced productivity. An appropriate work–rest strategy is recognized to effectively promote both workers’ health and productivity, while it has rarely been studied in the field of the construction industry. To narrow this gap, this study developed a mixed-integer linear programming approach to optimize the work–rest schedule by integrating workers’ overexertion. The objective is to maximize the productive time affected by the workers’ accumulative fatigue and recovery. Also, the optimized work–rest strategy can be highly customized by considering personalized factors and task characteristics. Experimenting with a case study compared the default rest schedule provided by the superintendent onsite with the optimal solution solved from the developed model. Results suggested that up to 20% improvement in productive time can be achieved, especially for the task with a relatively higher workload. Computational experiments were conducted to evaluate the sensitivity of total productive time to various personalized and task-specific factors. The proposed method provides superintendents with an applicable strategy to improve workers’ productivity and reduce their occupational risks resulting from overexertion. This study can promote the implementation of personalized occupational health management and support the improvement of regulations on the required rest with quantified evidence, thereby contributing to more reliable scheduling and sustainable workforce development for the construction industry. The research scope was limited to the precast production process, and further investigation on broader applications will be conducted.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
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Published In
Journal of Construction Engineering and Management
Volume 150 • Issue 5 • May 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Aug 9, 2023
Accepted: Dec 19, 2023
Published online: Mar 11, 2024
Published in print: May 1, 2024
Discussion open until: Aug 11, 2024
ASCE Technical Topics:
- Business management
- Case studies
- Construction engineering
- Construction industry
- Construction management
- Employment
- Engineering fundamentals
- Fatigue (material)
- Health hazards
- Labor
- Material mechanics
- Material properties
- Materials engineering
- Methodology (by type)
- Occupational safety
- Personnel management
- Practice and Profession
- Public administration
- Public health and safety
- Research methods (by type)
- Safety
- Sustainable development
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