A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Prefabricated Construction Process Optimization Based on Rework Risk
In prefabricated construction (PC) projects, component manufacturing and site construction are implemented concurrently to improve productivity. However, concurrent PC provides feedback information on each task, and iterations and coupling tasks often exist, which causes rework at a certain probability. Therefore, it is necessary to identify and optimize coupling tasks to reduce feedback information and rework costs and time. In this paper, a PC process optimization model that includes two modules is constructed. The first module is a coupling task optimization module and is built using the design structure matrix (DSM) method with graph theory to identify and reduce coupling tasks. Then a rework risk impact optimization module is built with cost and time minimization as objectives based on a genetic algorithm (GA) according to risk communication, rework probability, and core tasks. A case study is used to verify the model and reveals an 82.24% reduction of the impacts of rework risk on costs and time. The coupling tasks that are optimized as task groups require that the corresponding stakeholders be coordinated. Core tasks should be carried out in advance to avoid greater impacts in later periods. The model extends existing process optimization methods and has value for planning and controlling PC management to enhance coordination among all stakeholders. This study provides a reference for future research on rework risk prediction.
Prefabricated Construction Process Optimization Based on Rework Risk
In prefabricated construction (PC) projects, component manufacturing and site construction are implemented concurrently to improve productivity. However, concurrent PC provides feedback information on each task, and iterations and coupling tasks often exist, which causes rework at a certain probability. Therefore, it is necessary to identify and optimize coupling tasks to reduce feedback information and rework costs and time. In this paper, a PC process optimization model that includes two modules is constructed. The first module is a coupling task optimization module and is built using the design structure matrix (DSM) method with graph theory to identify and reduce coupling tasks. Then a rework risk impact optimization module is built with cost and time minimization as objectives based on a genetic algorithm (GA) according to risk communication, rework probability, and core tasks. A case study is used to verify the model and reveals an 82.24% reduction of the impacts of rework risk on costs and time. The coupling tasks that are optimized as task groups require that the corresponding stakeholders be coordinated. Core tasks should be carried out in advance to avoid greater impacts in later periods. The model extends existing process optimization methods and has value for planning and controlling PC management to enhance coordination among all stakeholders. This study provides a reference for future research on rework risk prediction.
Prefabricated Construction Process Optimization Based on Rework Risk
J. Constr. Eng. Manage.
Shen, Kaicheng (author) / Li, Xiaodong (author) / Cao, Xinying (author) / Zhang, Zhihui (author)
2022-06-01
Article (Journal)
Electronic Resource
English
Research on the rework risk core tasks in prefabricated construction in China
| Emerald Group Publishing | 2021
Illustrative Benchmarking Rework and Rework Costs in Swedish Construction Industry
| Online Contents | 2002
A rework probability model: a quantitative assessment of rework occurrence in construction projects
| Taylor & Francis Verlag | 2015