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How much data is enough? Financial optimisation of condition assessment spending to support pipeline replacement decisions

机译：多少数据足够？条件评估支出的财务优化，以支持管道更换决策

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When facing pipeline replacement decisions, asset managers face a dilemma. Factual information about the condition of the pipelines allows better replacement decisions and capital efficiency gains. On the other hand, gathering this information is costly. Performing a cost-benefit analysis is also challenging, as the benefits are difficult to project. This paper models the financial impact of pipeline condition assessment by considering the financial risk associated with decision making errors. An economic optimization equation using the model is presented. This equation yields the Economic Assessment Level: the amount of condition information needed to minimize the total combined spending on information gathering and incorrect decisions. Case studies and examples of the impact of different levels of information gathering are presented. The results of these programs are compared with the predictions of the model, illustrating how the calculations can be used to improve capital improvement program efficiency real world situations.
机译：在面对管道更换决策时，资产经理面临困境。有关管道状况的实际信息可以更好地进行更换决策并提高资本效率。另一方面，收集此信息的成本很高。由于很难预测收益，因此执行成本效益分析也具有挑战性。本文通过考虑与决策错误相关的财务风险，对管道状况评估的财务影响进行建模。提出了使用该模型的经济优化方程。该方程式得出的经济评估水平：最大限度减少信息收集和错误决策总支出所需的条件信息量。介绍了案例研究和不同级别信息收集的影响的示例。这些程序的结果与模型的预测结果进行了比较，说明了如何将计算结果用于改善现实世界中资本改进程序的效率。

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