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Importance of Noncost Criteria Weighing in Best-Value Design-Build US Highway Projects

机译:最佳设计标准的重要性标准的重要性设计 - 构建美国公路项目

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United States highway agencies use best-value procurement with a fixed price to select design builders. This method enables public agencies to choose the best proposer by assessing several factors in addition to price. Theoretically, considering cost and noncost factors in the selection enhances the probability of selecting the proposer that provides the best value for each dollar spent. However, bidding results from the last 15 years show that 80% of best-value procurements are awarded the proposer with the lowest bid. The selection seems thus to be biased toward price. This research explores the balance between cost and noncost components in best-value procurement by identifying how weights and scores influence the selection. This analysis aims to determine the ranges of weights that better balance cost and noncost factors in the weighted-criteria best-value procurement. This study characterized a first-of-a-kind data set of 882 noncost scores and 1,158 cost scores from 347 best-value highway projects. The study applied simulation to the weighted-criteria award algorithm to explore the balance between cost and noncost factors and derive recommendations about making noncost factors more influential. The results show that a weight of cost higher or equal to 57% will result in the lowest price selection. Highway agencies should be aware of how weights and scores impact the best-value selection to align these elements with their selection objectives.
机译:美国公路机构使用最佳价格,以固定价格选择设计建造者。这种方法使公共机构能够通过评估几个因素来选择最佳提议者。从理论上讲,考虑到选择中的成本和非变量因素增强了选择拟议器的概率,这些提议者为每花费的每一美元提供最佳价值。但是,过去15年的竞标结果表明,80%的最佳采购被授予最低出价的提议者。因此,选择似乎偏向价格。本研究通过识别权重和分数来探讨最佳价值采购中成本和非变量组件之间的平衡。该分析旨在确定在加权标准最佳价值采购中更好地平衡成本和非变化因素的权重的范围。这项研究表征了882个非平台分数的首次数据集,以及347个最佳价值高速公路项目的1,158分数。该研究将模拟应用于加权标准算法,探讨了成本和非变异因素之间的平衡,并导出了使非变异因素更具影响力的建议。结果表明,重量高于或等于57%将导致最低价格选择。高速公路代理商应该了解权重和分数如何影响最佳选择,以将这些元素与其选择目标对齐。

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