Abstract

Abstract Project schedule management is an important guarantee for the smooth implementation of the project, which is closely related to the interests of all parties involved in the project, and how to improve the efficiency and quality of the project is a problem that still needs to be solved. In this paper, with reference to the actual situation in the project engineering, the objective function of schedule, cost, quality, and safety is proposed, and the multi-objective optimization mathematical model of the project engineering is obtained through multi-attribute utility theory modeling. Based on the objective function and constraints, the fitness function is established, the constructed model is solved using a genetic algorithm, and safeguard measures are designed to improve the efficiency of project engineering. The empirical results show that the duration and labor demand in the project schedule optimization scheme proposed by the model in this paper are much lower than those in the planning scheme of traditional project schedule optimization methods. Compared to the traditional method, the total cost of the project works decreased by 8.70%, while the quality of the work improved by 0.71%. It shows that the model can improve the quality of project efficiency and enhance the economic benefits of the entire project. The model proposed in this paper makes project schedule optimization more scientific, reasonable, and practical and has certain theoretical and practical significance. In addition, the establishment of a perfect schedule risk management mechanism can be considered in future research in this field to further improve the project schedule optimization model.

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