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Prediction of the learning curve in roof insulation

机译:屋顶隔热层学习曲线的预测

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Mathematical learning curve models can be used in construction to predict the time or cost required to perform a repetitive activity. In this study, we evaluated mathematical models for different learning curves for flat roof insulation reconstruction work. Our evaluation was based on a survey conducted in the spring of 2009 in Budapest. The survey was conducted to determine the total construction time required for bound parts of flat roofs and for the related activities, such as demolition or laying heat insulation boards. Several mathematical models were identified, and each was used for prediction. The objective of this study was to determine which of the models considered was the most accurate for the prediction of future performance. The models were compared with each other and with the measured data.
机译:数学学习曲线模型可用于构造中,以预测执行重复活动所需的时间或成本。在这项研究中,我们评估了平屋顶保温重建工作中不同学习曲线的数学模型。我们的评估基于2009年春季在布达佩斯进行的一项调查。进行这项调查是为了确定平屋顶的结合部分以及相关活动(例如拆除或铺设隔热板)所需的总建筑时间。确定了几个数学模型,并将每个模型用于预测。这项研究的目的是确定所考虑的模型中最准确的模型可以用来预测未来的表现。将模型相互比较并与测量数据进行比较。

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