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Risks with Multiple Pay Factor Acceptance Plans

机译:多种薪酬因素接受计划的风险

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摘要

It is rare that a state highway agency (SHA) uses only a single quality characteristic to determine the pay factor for a lot. This paper deals with two specific types of risk associated with the use of multiple quality characteristics: remove and replace provisions and the effect on pay factor determination if the quality characteristics are correlated. First, computer simulation studies showed that typical acceptance plan provisions that call for lot removal and replacement at a given quality level, such as a percentage of material within specification limits of 60 or 50, can place much greater risk on the contractor when they apply to multiple characteristics. An approach to correct this problem was developed. Next, a total of 1,742 sets of asphalt content (AC), air voids (AV), and voids in the mineral aggregates (VMA) test results were analyzed for correlations. VMA values were positively correlated with both AV and AC values. Additional simulation studies showed that while this correlation does not affect the long-term average pay factor for a lot, it increases the variability in the individual lot composite pay factors. The positive correlation also increases the weighting of AV and AC in a composite pay equation. The use of multiple quality characteristics for determining the pay factor for a lot introduces sources of risk that are not present when only one characteristic is used. Any SHA that uses multiple pay factors should consider performing the types of remove and replace and correlation analyses presented in this paper.
机译:很少有州公路局(SHA)仅使用单个质量特征来确定很多工资因素。本文讨论了与使用多个质量特征相关的两种特定类型的风险:删除和替换准备金,以及如果质量特征相关则对支付因子确定的影响。首先,计算机模拟研究表明,要求在给定质量水平下进行批量移除和替换的典型验收计划规定(例如,规格限制为60或50的物料百分比)可能给承包商带来更大的风险,例如承包商多重特征。开发了一种纠正此问题的方法。接下来,共分析了1,742组沥青含量(AC),空气空隙(AV)和矿物集料中的空隙(VMA)测试结果之间的相关性。 VMA值与AV和AC值均呈正相关。附加的模拟研究表明,尽管这种相关性不影响批次的长期平均支付因子,但会增加单个批次复合支付因子的可变性。正相关还增加了复合薪酬方程式中AV和AC的权重。使用多个质量特征来确定批次的支付因子会引入仅使用一种特征时不存在的风险来源。任何使用多个薪酬因素的SHA都应考虑执行本文中介绍的删除和替换以及相关性分析的类型。

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