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首页> 外文期刊>International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development >MULTI-OBJECTIVE MODEL FOR TIME-COST TRADE-OFF IN REPETITIVE CONSTRUCTION PROJECTS
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MULTI-OBJECTIVE MODEL FOR TIME-COST TRADE-OFF IN REPETITIVE CONSTRUCTION PROJECTS

机译：重复建设项目中时间成本交易的多目标模型

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摘要

Repetitive construction projects are very common in construction industry. In such projects, a number of tasks are repeated in a specific sequence over a number of similar units or sections, by a set of dedicated resources. Overall performance of repetitive construction projects can be attributed to the efficient use of these dedicated resource crews for early completion of the project with minimum total project cost. Existing methodologies optimize the schedule with respect to a single objective, to minimize project duration or maximize resource work continuity or minimize project costs. However, scheduling decisions for repetitive construction projects are multi-objective and hence a balance between resource work continuity, project duration and project total cost must be established. In this paper, a genetic algorithm based multi-objective optimization model for scheduling repetitive construction projects is presented. The model comprises three modules: a resource-driven scheduling module; a cost module; and a multi-objective optimization module. The scheduling module ensures minimum project duration and maximum crew work continuity for a set of resource crew formations. The cost module computes project total costs. The optimization module generates several trade-off solutions between project duration and project total cost. Construction project planners can use this trade-off information to select resource crew formations for each task and the corresponding project schedule. A numerical example from the literature is analysed to illustrate the use and capabilities of the model.
机译：重复建设项目在建筑行业中非常普遍。在这样的项目中，通过一组专用资源，在多个相似的单元或部分上以特定的顺序重复执行许多任务。重复建设项目的整体绩效可以归因于这些专职人员的有效利用，它们以最小的项目总成本尽早完成了项目。现有方法相对于单个目标优化进度，以最小化项目持续时间或最大化资源工作连续性或最小化项目成本。但是，重复性建设项目的调度决策是多目标的，因此必须在资源工作连续性，项目工期和项目总成本之间建立平衡。本文提出了一种基于遗传算法的多目标优化项目调度模型。该模型包括三个模块：资源驱动的调度模块；成本模块；以及多目标优化模块。调度模块可确保一组资源人员编队的最小项目持续时间和最大的人员工作连续性。成本模块计算项目总成本。优化模块会在项目工期和项目总成本之间产生一些折衷的解决方案。建设项目计划人员可以使用此折衷信息来选择每个任务的资源人员编队以及相应的项目进度表。分析了文献中的一个数值示例，以说明该模型的用途和功能。

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