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Cost Management of Highway Construction Based on the Internal Data of Construction Enterprise

机译:基于施工企业内部数据的公路建设成本管理

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The research conducted on highway construction cost management has been primarily based on the perspective of owner. For example, the famous whole life cycle cost management theory is about how owners control the cost in the sections of estimation, budget estimation, budget, and final accounts. Construction cost was regarded as the duty of construction enterprises. This paper analyzed the construction cost control based on the internal data of construction enterprises, proposed a method of using the RBF neural net to predict the tendency of future construction cost, calculated the ratio between the predicted cost and the actual cost according to the field data, then analyzed the characteristics of the ratio above, such as means, variances, and confidence intervals. After that, ratios such as the ratios of next month were predicted by the use of exponential smoothing. If the predicting value was between the confidence interval, the construction cost was controllable, otherwise, the construction cost was uncontrollable. This method was verified to be feasible through its use in the Guizhou communications construction group.
机译:公路建设成本管理的研究主要基于所有者的角度。例如,著名的整个生命周期成本管理理论是关于所有者如何在估算,预算估算,预算和决算等部分中控制成本。建筑成本被视为建筑企业的职责。本文基于建筑企业内部数据分析了建筑成本控制,提出了一种利用RBF神经网络预测未来建筑成本趋势的方法,并根据现场数据计算了预测成本与实际成本的比值。 ,然后分析了上述比率的特征,例如均值,方差和置信区间。之后,使用指数平滑法来预测下个月的比率等比率。如果预测值在置信区间之间,则建筑成本是可控的,否则,建筑成本将不可控。通过在贵州通信建设集团中使用该方法,证明了该方法是可行的。

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