Due to the dynamic nature, complexity, and interactivity of production scheduling in an actual business environment, suitable combined and hybrid methods are necessary. This paper takes prefabricated concrete components as an example and develops the dynamic decision support framework based on a genetic algorithm and multiagent system (MAS) to optimize and simulate the production scheduling. First, a multiobjective genetic algorithm is integrated into the MAS for preliminary optimization and a series of near‐optimal solutions are obtained. Subsequently, considering the resource constraints and uncertainties, the MAS is used to simulate complex real‐world production environments. Considering the different types of uncertainty factors, the paper proposes the corresponding dynamic scheduling method and uses MAS to generate the optimal production schedule. Finally, a practical prefabricated construction case is used to validate the proposed model. The results show that the model can effectively address the occurrence of uncertain events and can provide dynamic decision support for production scheduling.

中文翻译：

---

结合遗传算法和多主体模型的生产调度动态决策支持框架

由于实际业务环境中生产计划的动态性质，复杂性和交互性，因此需要合适的组合和混合方法。本文以预制混凝土构件为例，基于遗传算法和多智能体系统（MAS）开发了动态决策支持框架，以优化和模拟生产调度。首先，将多目标遗传算法集成到MAS中进行初步优化，并获得一系列接近最优的解决方案。随后，考虑到资源限制和不确定性，MAS用于模拟复杂的实际生产环境。考虑到不确定因素的不同类型，提出了相应的动态调度方法，并利用MAS生成最优生产调度。最后，使用实际的预制施工案例来验证所提出的模型。结果表明，该模型可以有效地解决不确定事件的发生，可以为生产调度提供动态决策支持。