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A Measure of Systems Engineering Effectiveness in Government Acquisition of Complex Information Systems: A Bayesian Belief Network-Based Approach.

机译：政府获取复杂信息系统中系统工程有效性的度量：基于贝叶斯信念网络的方法。

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摘要

This research presents an innovative means of gauging Systems Engineering effectiveness through a Systems Engineering Relative Effectiveness Index (SE REI) model. The SE REI model uses a Bayesian Belief Network to map causal relationships in government acquisitions of Complex Information Systems (CIS), enabling practitioners to identify and analyze Systems Engineering (SE) patterns and predict areas of potential SE performance risk. Although developed in the context of federal government acquisition of CIS, the SE REI model can be adapted to a broad spectrum of systems engineering domains through future research.;Progress in Systems Engineering, in particular Systems-of-Systems Engineering, are driving the advance of Complex Information Systems with increasingly complicated constituent systems, components and integration points. As one of the world's largest purchasers of CIS, the federal government is at the forefront of addressing the challenges of acquiring and managing these CIS. Government, along with industry and academia, have invested enormous resources into evolving Systems Engineering (SE) practices to address these challenges and, over time, have integrated new and refined approaches and heuristics (Doskey, Mazzuchi, & Sarkani, 2013a).;Although the measurement of SE effectiveness has its own rich history of research in terms of methods, process, and tools, it has not kept pace with the velocity of SE change. Current SE effectiveness measures provide guidance throughout the acquisition lifecycle, but tend to be descriptive instead of inferential in nature and therefore useful for retrospective reviews of programs, or as stage gates through SE processes.;In response to the need for more prescriptive options, this research proposes a Systems Engineering Relative Effectiveness Index (SE REI) model. The SE REI model offers acquisition organizations - both government and industry - insights to address the challenges of integrating and evaluating complex programs. It provides predictive analysis of a project's SE challenges early in the acquisition lifecycle, enabling practitioners to assess and mitigate risks before investing significant resources and time in a program.;To model a program or project's SE performance, the SE REI applies conditional probability through the use of a Bayesian Belief Network. While the SE REI model focuses on CIS projects with the high level of system integration commonly found in Systems-of-Systems Engineering projects, it is sufficiently extensible to adapt it to other project domains through recalculation of prior probabilities.
机译：这项研究提出了一种通过系统工程相对效率指数（SE REI）模型来衡量系统工程效率的创新手段。 SE REI模型使用贝叶斯信念网络来映射政府收购复杂信息系统（CIS）中的因果关系，从而使从业人员能够识别和分析系统工程（SE）模式并预测潜在的SE性能风险领域。尽管是在联邦政府收购CIS的背景下开发的，但SE REI模型可以通过未来的研究适应广泛的系统工程领域。系统工程的进展，特别是系统系统工程的发展，正在推动着这一进步。具有越来越复杂的组成系统，组件和集成点的复杂信息系统。作为全球最大的CIS购买者之一，联邦政府站在应对收购和管理这些CIS的挑战的最前沿。政府，工业界和学术界已经在不断发展的系统工程（SE）实践中投入了大量资源，以应对这些挑战，并且随着时间的流逝，他们集成了新的和完善的方法和启发式方法（Doskey，Mazzuchi和Sarkani，2013a）。 SE有效性的度量在方法，过程和工具方面有着自己丰富的研究历史，但并没有跟上SE改变的速度。当前的SE有效性度量在整个购置生命周期中提供了指导，但本质上是描述性的而不是推论性的，因此对于计划的回顾性审查或作为SE过程的阶段性门很有用;为了响应对更多描述性选项的需求，研究提出了系统工程相对有效性指数（SE REI）模型。 SE REI模型为政府和行业的采购组织提供了见解，以解决集成和评估复杂程序的挑战。它可以在购置生命周期的早期对项目的SE挑战进行预测分析，从而使从业人员能够在计划中投入大量资源和时间之前评估和缓解风险。为了建模程序或项目的SE绩效，SE REI通过贝叶斯信仰网络的使用。尽管SE REI模型专注于系统级系统工程项目中常见的具有较高系统集成水平的CIS项目，但它具有足够的可扩展性，可以通过重新计算先前的概率使其适应其他项目领域。

著录项

  • 作者

    Doskey, Steven Craig.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Engineering System Science.;Operations Research.;Information Technology.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 198 p.
  • 总页数 198
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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