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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.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices./
Author:	London, Mark Alan.
Description:	129 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
Contained By:	Dissertation Abstracts International76-06B(E).
Subject:	Electrical engineering. -
Online resource:	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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100 1 $a London, Mark Alan. $3 3177823
245 1 0 $a Evaluating System Readiness Level Reversal Characteristics Using Incidence Matrices.
300 $a 129 p.
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.
590 $a School code: 0075.
650 4 $a Electrical engineering. $3 649834
650 4 $a Systems science. $3 3168411
650 4 $a Statistics. $3 517247
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710 2 $a The George Washington University. $b Systems Engineering. $3 1032058
773 0 $t Dissertation Abstracts International $g 76-06B(E).
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792 $a 2015
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3680348