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Evaluating System Readiness Level Re...

London, Mark Alan.

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Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices./
作者:	London, Mark Alan.
面頁冊數:	129 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
Contained By:	Dissertation Abstracts International76-06B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3680348
ISBN:	9781321523256

Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices.
London, Mark Alan.

Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices. - 129 p.

Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2015.

This item must not be sold to any third party vendors.

Contemporary system maturity assessment approaches have failed to provide robust quantitative system evaluations resulting in increased program costs and developmental risks. Standard assessment metrics, such as Technology Readiness Levels (TRL), do not sufficiently evaluate increasingly complex systems. The System Readiness Level (SRL) is a newly developed system development metric that is a mathematical function of TRL and Integration Readiness Level (IRL) values for the components and connections of a particular system. SRL acceptance has been hindered because of concerns over SRL mathematical operations that may lead to inaccurate system readiness assessments. These inaccurate system readiness assessments are called readiness reversals. A new SRL calculation method using incidence matrices, the Incidence Matrix System Readiness Level (IMSRL), was proposed to alleviate these mathematical concerns. The presence of SRL readiness reversal was modeled for four SRL calculation methods across several system configurations. Logistic regression analysis demonstrated that the IMSRL has a decreased presence of readiness reversal than other approaches suggested in the literature. The IMSRL was also analytically evaluated for conformance to five standard SRL mathematical characteristics and a sixth newly proposed SRL property. The improved SRL mathematical characteristics discussed in this research will directly support quantitative analysis of system technological readiness measurements.

ISBN: 9781321523256Subjects--Topical Terms:

649834
Electrical engineering.

Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices.
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245 1 0 $a Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices.
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500 $a Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
500 $a Advisers: Thomas Holzer; Timothy Eveleigh.
502 $a Thesis (Ph.D.)--The George Washington University, 2015.
506 $a This item must not be sold to any third party vendors.
520 $a Contemporary system maturity assessment approaches have failed to provide robust quantitative system evaluations resulting in increased program costs and developmental risks. Standard assessment metrics, such as Technology Readiness Levels (TRL), do not sufficiently evaluate increasingly complex systems. The System Readiness Level (SRL) is a newly developed system development metric that is a mathematical function of TRL and Integration Readiness Level (IRL) values for the components and connections of a particular system. SRL acceptance has been hindered because of concerns over SRL mathematical operations that may lead to inaccurate system readiness assessments. These inaccurate system readiness assessments are called readiness reversals. A new SRL calculation method using incidence matrices, the Incidence Matrix System Readiness Level (IMSRL), was proposed to alleviate these mathematical concerns. The presence of SRL readiness reversal was modeled for four SRL calculation methods across several system configurations. Logistic regression analysis demonstrated that the IMSRL has a decreased presence of readiness reversal than other approaches suggested in the literature. The IMSRL was also analytically evaluated for conformance to five standard SRL mathematical characteristics and a sixth newly proposed SRL property. The improved SRL mathematical characteristics discussed in this research will directly support quantitative analysis of system technological readiness measurements.
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