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Using BIM Model and Genetic Algorithms to Optimize The Crew Assignment for Construction Project Planning

机译:利用BIM模型和遗传算法优化建设项目计划的机组分配。

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Project planning is among the most critical factors to the success of a construction project. In project planning, cost and schedule are closely interrelated, because they share a lot of common data in their planning processes. Therefore, the integration of cost and schedule functions has been an attractive issue in construction project planning. Many researchers have emphasized the benefits of this integration and several different methodologies combining cost and schedule data have been provided. However, the results of the previous studies are not comprehensive enough to fulfill the requirements of project planning. This paper presents a model-based planning system that employs Building Information Model (BIM), Object Sequencing Matrix (OSM), and Genetic Algorithms (GAs) to obtain an optimal crew assignment under resource and workspace constraints. The purposes are to evaluate the project costs and optimize the temporal distribution of resources in project planning. A computer implementation called Cost/Schedule Integrated Planning System (CSIPS) is also developed to verify the feasibility of the proposed approach.
机译:项目计划是建设项目成功的最关键因素之一。在项目计划中,成本和进度是紧密相关的,因为它们在计划过程中共享许多公共数据。因此,成本和进度功能的集成一直是建设项目规划中的一个有吸引力的问题。许多研究人员强调了这种集成的好处,并提供了几种结合成本和进度数据的不同方法。但是,以前的研究结果还不够全面,无法满足项目计划的要求。本文提出了一种基于模型的计划系统,该系统采用建筑信息模型(BIM),对象排序矩阵(OSM)和遗传算法(GA)来在资源和工作空间约束下获得最优的人员分配。目的是评估项目成本并优化项目计划中资源的时间分配。还开发了一种称为成本/进度计划综合计划系统(CSIPS)的计算机实现,以验证所提出方法的可行性。

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