Abstract
The existing multi-objective scheduling optimization methods for prefabricated construction projects do not consider scheduling problems under uncertain project structures, and the efficiency of the scheduled projects is not ideal. To address this issue, a multi-objective scheduling optimization method grounded on an improved Nondominated Sorting Genetic Algorithm II (NSGA-II) is proposed. The study first establishes a multi-objective optimization mathematical model considering the uncertainty of project structure from the perspective of changes in project structure. This model aims to minimize project cost and duration, considering various execution modes and uncertainties of activity processes in prefabricated construction projects. Afterwards, by introducing the NSGA-II and taboo search algorithm, the scheduling problem of the construction project is optimized and solved to obtain the best scheduling solution. The results showed that after using this optimization method, the resource utilization rate of the project was 92.36%, the material cost consumption was 158.60 yuan/m2, and the completion rate of the construction period was 98.77%. Its progress deviation rate was only 2.41%, and the unit area cost was 1850.32 yuan/m2, which has a higher cost-effectiveness compared to other methods. The engineering qualification rate of the application project was 99.78%. The research designs a multi-objective scheduling optimization method for prefabricated construction projects, which can effectively improve project construction efficiency and reduce costs while ensuring construction quality.
Get full access to this article
View all access options for this article.