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Using the Cumulative Cost Model to Forecast Equipment Repair Costs: Two Different Methodologies

机译:使用累积成本模型预测设备维修成本:两种不同的方法

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摘要

Professionals in the construction industry must be able to accurately forecast costs. Doing so not only helps assure reasonable profits for companies, but it can also help ensure that projects are delivered within budget for clients. Forecasting of equipment repair costs is one element of the larger problem of predicting overall costs. The cumulative cost model can provide construction engineers with a valuable tool for better understanding the nature of repair costs as they relate to production fleets. Data that are being collected (or that could be collected) can assist in the determination of the rate of accumulation of repair costs for a machine for a given period of use or the estimation of fleet repair budgets for a job or period. There are two different methodologies for constructing the repair cost portion of the cumulative cost model: life-to-date (LTD) repair costs and the period-cost-based (PCB) model. This paper will provide the steps and background for each of these two methodologies and compare them using a practical example.
机译:建筑行业的专业人员必须能够准确预测成本。这样做不仅有助于确保公司获得合理的利润,而且还有助于确保在预算范围内为客户交付项目。设备维修成本的预测是预测总体成本的较大问题之一。累积成本模型可以为建筑工程师提供有价值的工具,以便他们更好地了解与生产车队有关的维修成本的性质。收集的(或可以收集的)数据可以帮助确定给定使用期限内机器的维修成本累积率或估计工作或期间的机队维修预算。构造累积成本模型的维修成本部分有两种不同的方法:最新寿命(LTD)维修成本和基于期间成本(PCB)的模型。本文将提供这两种方法中的每一种的步骤和背景,并通过一个实际示例进行比较。

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