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THE ROLE OF NON-TECHNICAL VARIABLES IN NASA RESEARCH AND DEVELOPMENT PROJECT SUCCESS

机译:非技术变量在美国宇航局研发项目成功中的作用

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Systems engineering standards include a set of well-defined processes to support complex system development. The objective of these processes is to have a defined plan that helps ensure project success and minimize risk. However, recently conducted research has indicated high variability in how individual systems engineering processes correlate with project success in government and commercial organizations. It may be possible to improve the probability of project success by focusing resource expenditures on a key subset of these processes. This research extends prior work that looked at the relationship between system engineering processes and project success at NASA centers by incorporating additional non-technical variables in the analysis. Parallel work on parametric project cost estimating has indicated that non-technical variables such as team experience, funding constraints, and percentage of new design have a significant impact on costs. Our objective is to link these efforts to develop a more comprehensive understanding of project success drivers in complex system development. By focusing this study on NASA projects, expanding the factors examined to include non-technical variables, and continuing to study the traditional technical variables in the systems engineering engine, this work will enable the creation of a guide for NASA systems engineers to apply in tailoring the systems engineering engine to individual projects. As a result, managers will be able to improve the probability of project success by better deploying resources.
机译:系统工程标准包括一组明确定义的流程来支持复杂的系统开发。这些流程的目的是有一个定义的计划,有助于确保项目成功并最大限度地减少风险。然而,最近进行的研究表明,各个系统工程流程如何与政府和商业组织的项目成功相关联。可以通过将资源支出关注这些过程的关键子集来改善项目成功的概率。本研究通过在分析中纳入额外的非技术变量,在NASA中心延长了在NASA中心之间的关系的现有工作。 Parametric项目成本估算的并行工作表明,诸如团队经验,资金限制和新设计的百分比的非技术变量对费用产生了重大影响。我们的目标是将这些努力联系起来对复杂系统开发中的项目成功司机提供更全面的了解。通过将本研究重点关注NASA项目,扩展所检查的因素包括非技术性变量,并继续研究系统工程引擎中的传统技术变量,这项工作将使NASA系统工程师的指南创建旨在裁剪系统工程引擎到各个项目。因此,管理人员将能够通过更好地部署资源来提高项目成功的概率。

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