The Development of Progress Plans Using a Performance‐Based Expert Judgment Model to Assess Technical Performance and Risk

Justin W. Eggstaff, Thomas A. Mazzuchi and Shahram Sarkani

Systems Engineering, 2014, vol. 17, issue 4, 375-391

Abstract: Systems engineers are routinely tasked with facilitating the delicate balance between cost, schedule, and technical performance in acquisition programs that are continuously subjected to various outside influences. While there are several quantitative methods to estimate acquisition program cost and schedule performance as well as identify their risks (e.g., Earned Value Management), the estimation of technical performance and technical risk is generally heuristic in nature. In order to monitor the progress of the technical aspects of an acquisition program, the systems engineering discipline utilizes the process of tracking Technical Measures to gain insight into the design and development, to assess risks and issues, and to evaluate the likelihood of realizing objectives. However, with the diversity of so many technical programs, the estimation and risk analysis of technical performance in technology acquisition programs rely on the opinions of experts because the identification and application of relevant quantitative data for constructive modeling is not practical. The Expert‐weighted Technical Risk Index methodology proposed in this article introduces a well‐established method for mathematically combining expert judgment into the realm of systems engineering to develop predictive progress plans for technical performance estimation and risk analysis. © 2013 Wiley Periodicals, Inc. Syst Eng 17

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:wly:syseng:v:17:y:2014:i:4:p:375-391

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