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Defining a mathematical function for labor productivity in masonry construction: A case study

机译:定义砌体建设中劳动生产率的数学函数:案例研究

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Labor productivity has a profound impact on construction management. The accurate prediction of productivity is essential to effectively plan operations that depend on time and cost and is critical for the success of a construction project for both the contractor and the owner. However, predicting productivity of operations is challenging due to the multiple characteristics of workers, the interrelationships between workers, and the site conditions that impact the performance of crews and affect project goals. This paper proposes a methodology to quantify the factors that affect productivity in masonry construction. We have considered three factors: compatibility, suitability, and craft. Standardized data-collection techniques are used to consolidate data from three masonry sites and mathematically define a productivity function that relates workers characteristics and crews with site conditions. The function, increasing in its arguments, determines the factors that most affect masonry productivity and the factor's effects. The most interesting part is to be able to identify the convexity properties of this function because its theoretical interpretation will have implications on the impact of the superintendent's decisions when forming crews. The proposed mathematical function can enable superintendents to better plan, schedule, and manage masonry crews.
机译:劳动生产率对施工管理产生了深远的影响。精确的生产率预测对于有效计划依赖于时间和成本的操作至关重要,这对于承包商和所有者的建筑项目的成功至关重要。然而,预测运营的生产力是挑战,由于工人的多种特征,工人之间的相互关系以及影响人员绩效的现场条件并影响项目目标。本文提出了一种量化影响砌体建设生产力的因素的方法。我们已经考虑了三个因素:兼容性,适用性和工艺。标准化的数据收集技术用于整合来自三个砖石网站的数据,并在数学上定义与现场条件相关的工作人员特征和工作人员的生产率函数。函数,增加其参数,决定了大多数影响砖石生产力和因子的效果的因素。最有趣的部分是能够识别此功能的凸性属性,因为其理论解释将对在形成工作人员时对监督员的影响产生影响。所提出的数学函数可以使管理者能够更好地计划,安排和管理砌体机组人员。

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