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Technical performance measure

About: Technical performance measure is a research topic. Over the lifetime, 90 publications have been published within this topic receiving 910 citations.


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Journal ArticleDOI
TL;DR: In this paper, a qualitative methodology was used to examine how discourse norms and socialization processes affect the development of technical requirements and found that, in team-based designs, interpretation conflict and technical diffusion were important dimensions when writing and coordinating technical requirements.
Abstract: Uses a qualitative methodology to examine how discourse norms and socialization processes affect the development of technical requirements. Our exploratory investigation of how government personnel develop and review technical requirements indicates that discourse norms and academic technical writing socialization processes affect the technical writing process. Technical writers perceived that requirements in work statements became less precise as more requirements were coordinated in team-based designs. In essence, we found that, in team-based designs, interpretation conflict and technical diffusion were important dimensions when writing and coordinating technical requirements. Our findings suggest that collaborative technical writing is a complex and difficult process in team-based designs where integration and persuasion skills dominate.

12 citations

01 Jan 2000
TL;DR: Simulation systems are being increasingly used as a cheaper alternative to field training and as the Services put such systems into place acquisition managers must add new methods to the traditional technical performance measures to assess the effectiveness of these training systems.
Abstract: : Simulation systems are being increasingly used as a cheaper alternative to field training and as the Services put such systems into place acquisition managers must add new methods to the traditional technical performance measures to assess the effectiveness of these training systems.

10 citations

Journal ArticleDOI
TL;DR: 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.
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

9 citations

Journal ArticleDOI
TL;DR: The deterministic SPM concept is extended to a stochastic SPM to account for the ability of an SoS to achieve its desired performance, and an Antisubmarine Warfare ASW mission example is used to demonstrate how this extension improves the effectiveness of the SPM methodology.
Abstract: Technical Performance Measures TPMs historically are used to help the Program Manager in predicting if a program is on a path to achieve required performance. When extended over a developmental timeline, TPMs have provided a deterministic approach for predicting expected operational performance. However, TPMs are difficult to derive for a complex acknowledged system of systems SoS. An SoS Performance Measure SPM has been developed that is equivalent in purpose to TPMs and demonstrated for a deterministic state similar to TPM usage. However, reality indicates that many of the SoS component variables have significant uncertainty associated with them during the SoS development. Therefore, to more accurately account for the ability of an SoS to achieve its desired performance, this variability needs to be accounted for. This paper extends the deterministic SPM concept to a stochastic SPM to account for this uncertainty. An Antisubmarine Warfare ASW mission example is used, and demonstrates how this extension improves the effectiveness of the SPM methodology.

8 citations

Journal ArticleDOI
TL;DR: Organizational activity analysis examines unit mission-related functioning through the use of an activity database and provides decision makers with reliable information upon which decisions for operations improvement can be made as discussed by the authors.
Abstract: The role of a technical manager is changing as the skills for success become more managerial, and the technical function becomes more tightly coupled with organizational goals. The purpose of this paper is to suggest an approach to evaluating technical organizations or units in a quantitative way consistent with the needs of many technical managers who increasingly are being asked to make decisions about reorganization, downsizing, and productivity improvement. Organizational activity analysis examines unit mission-related functioning through the use of an activity database. The methodology provides decision makers with reliable information upon which decisions for operations improvement can be made. A description of the methodology, example applications, and implementation strategies are presented. >

7 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20201
20191
20182
20165
20152
20145