关键词: 集成订货, 重复性项目调度, 成本优化模型, 遗传算法, 模拟退火算法

Abstract: In recent years, with the rapid development of infrastructure construction, especially prefabricated buildings, more and more construction projects are being prepared and constructed. The materials required in prefabricated buildings, such as prefabricated components, concrete, steel bars, etc., have high transportation costs, large footprint, and high storage requirements. On the one hand, material costs in construction projects, such as ordering costs and inventory costs, accounts for a large proportion of the total cost; On the other hand, project scheduling plans and material ordering plans are interdependent. In order to optimize the total project cost, when one of them changes, the other also needs to make corresponding adjustments. Therefor, it is necessary to integrate material ordering in cost optimization of project scheduling. However, the research on project scheduling and material ordering problem(PSMOP) mostly focuses on general projects, and there are no studies in the context of repetitive projects. Repetitive projects refer to projects where the same work content is carried out in multiple repetitive units, such as high-rise building, highways, pipeline laying, etc. Compared to general projects, repetitive projects have more complex project network relationships. The Critical Path Method(CPM) is no longer applicable to repetitive projects, which may lead to issues such as inability to ensure work continuity and inability to represent distance constraints between processes. What’s more, when the continuity of repetitive projects is interrupted, there will be additional interval time costs due to the labor and equipment idle. In this context, this paper studies cost optimization of repetitive project scheduling with integrated material ordering, which has strong theoretical value and practical significance.

Key words: Order consolidation, Repetitive Scheduling, Cost optimization model, Genetic Algorithm, Simulated Annealing