Process-Based Cost Modeling

C. Smart, G. Reese, L. Adams, A. Batchelor, A. Redrick
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引用次数: 11

Abstract

Weight-based parametric estimating has been used for predicting cost since the 1950s. The state of the art has advanced significantly during the last 50 years. Most of these advances – such as estimating by analogy, multiple independent variables, and nonlinear techniques – have focused on improving cost estimating relationships that are based on regression analysis. While highly useful, regression-based estimates have limitations. Thus new tools may be useful in supplementing existing approaches. Process-based cost modeling is a technique that has the potential to improve the fidelity of traditional parametric estimates. Process-based modeling estimates cost by relating cost drivers directly to the processes involved in designing, developing, testing, and producing a program. A research project to develop a process-based model to estimate acquisition costs for launch vehicles for Marshall Space Flight Center’s Engineering Cost Office was in development for 18 months. The methodology, data collection, analysis, and algorithm development are described in detail. Introduction Process-based modeling is a relatively new approach to modeling cost. Traditional parametric analysis has focused on the “what” of cost – the weight and other technical parameters. Process-based modeling focuses on the “how” of cost by relating cost drivers to the individual processes involved in the design, development, test, and production of a program. A research project to develop a process-based acquisition cost model for the Engineering Cost Office (ECO) of Marshall Space Flight Center (MSFC) was recently conducted. The objective was to improve state-of-the-art cost modeling techniques by using process-based estimation. Process-based models supplement traditional parametric tools, and are not intended to replace parametric estimates. Traditional regression analysis provides an early estimate of a project’s cost. These traditional weight-based statistical estimates can be significantly refined using a process-based model. The beta version of the process-based model consists of an integrated, Excelbased interface that includes all the work breakdown structure (WBS) elements relevant to building a new manned launch vehicle. This integrated model has been calibrated to Space Shuttle Orbiter (SSO), Apollo Command Service
基于流程的成本建模
自20世纪50年代以来,基于权重的参数估计已被用于预测成本。在过去的50年里,技术水平有了显著的进步。这些进步中的大多数——例如通过类比估算、多个独立变量和非线性技术——都集中在改进基于回归分析的成本估算关系上。虽然非常有用,但基于回归的估计有局限性。因此,新工具可能有助于补充现有方法。基于过程的成本建模是一种有潜力提高传统参数估计的保真度的技术。基于过程的建模通过将成本驱动因素直接与设计、开发、测试和生成程序所涉及的过程联系起来来估算成本。为马歇尔航天飞行中心工程成本办公室开发一种基于过程的模型来估计运载火箭采购成本的研究项目已经进行了18个月。详细描述了方法、数据收集、分析和算法开发。基于过程的建模是一种相对较新的成本建模方法。传统的参数分析侧重于成本的“什么”——重量和其他技术参数。基于过程的建模通过将成本驱动因素与程序的设计、开发、测试和生产中涉及的各个过程联系起来,关注于成本的“如何”。马歇尔航天飞行中心(MSFC)工程成本办公室(ECO)最近进行了一项研究项目,以开发基于过程的采办成本模型。目标是通过使用基于过程的估算来改进最先进的成本建模技术。基于过程的模型补充了传统的参数化工具,并不打算取代参数化估计。传统的回归分析提供了项目成本的早期估计。这些传统的基于权重的统计估计可以使用基于过程的模型进行显著改进。基于过程的模型的测试版由一个集成的、基于excel的接口组成,该接口包括与建造新的载人运载火箭相关的所有工作分解结构(WBS)元素。这个集成模型已经被校准到航天飞机轨道器(SSO),阿波罗指挥服务
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