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Multiobjective Optimization of Resource Leveling and Allocation during Construction Scheduling

机译:施工进度计划中资源均衡分配的多目标优化

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Construction scheduling techniques often generate schedules that cause undesirable resource fluctuations that are inefficient and costly to implement on site. This paper presents the development of a novel multiobjective optimization model that is capable of measuring and minimizing these undesirable resource fluctuations to maximize resource utilization efficiency and minimize project duration while complying with all precedence relationships and resource availability constraints. The model incorporates three main modules: (1) a startup module that calculates lower and upper bounds for the model decision variables; (2) a scheduling module that generates practical schedules and evaluates their performance; and (3) a multiobjective genetic algorithm module that searches for and identifies optimal schedules. The model is integrated in a commercially available software system to facilitate its use and adoption by construction planners. An application example is analyzed to illustrate the use of the model and demonstrate its new and unique capabilities in generating optimal trade-offs between maximizing resource utilization efficiency and minimizing the duration of construction projects.
机译:施工进度计划技术通常会生成进度表,这些进度表会导致不希望的资源波动,这种波动在现场效率低下且成本高昂。本文介绍了一种新颖的多目标优化模型的开发,该模型能够测量并最小化这些不良的资源波动,从而在满足所有优先级关系和资源可用性约束的同时最大化资源利用效率并最小化项目工期。该模型包含三个主要模块:(1)一个启动模块,用于计算模型决策变量的上下限; (2)计划模块,用于生成实际计划并评估其性能; (3)多目标遗传算法模块,用于搜索和识别最佳计划。该模型已集成在可商购的软件系统中,以方便施工计划人员使用和采用。对一个应用实例进行了分析,以说明该模型的用法,并展示其在最大程度地权衡资源利用率和最小化建设项目工期之间产生最佳折衷的新功能。

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