INCIDENCE MATRIX APPROACH FOR CALCULATING READINESS LEVELS 被引量：1

INCIDENCE MATRIX APPROACH FOR CALCULATING READINESS LEVELS

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摘要 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 is proposed to alleviate these mathematical concerns.The presence of SRL readiness reversal is modeled for four SRL calculation methods across several system configurations.Logistic regression analysis demonstrates that the proposed Incidence Matrix SRL（IMSRL）method has a decreased presence of readiness reversal than other approaches suggested in the literature.Viable SRL methods will foster greater SRL adoption by systems engineering professionals and will support system development risk reduction goals. 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 is proposed to alleviate these mathematical concerns.The presence of SRL readiness reversal is modeled for four SRL calculation methods across several system configurations.Logistic regression analysis demonstrates that the proposed Incidence Matrix SRL（IMSRL）method has a decreased presence of readiness reversal than other approaches suggested in the literature.Viable SRL methods will foster greater SRL adoption by systems engineering professionals and will support system development risk reduction goals.

作者 Mark A.London Thomas H.Holzer Timothy J.Eveleigh Shahryar Sarkani

机构地区 School of Engineering and Applied Science

出处《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2014年第4期377-403,共27页 系统科学与系统工程学报（英文版）

关键词 Technology Readiness Level（TRL） integration readiness level（IRL） system readiness level（SRL） system readiness graph theory systems engineering Technology Readiness Level（TRL） integration readiness level（IRL） system readiness level（SRL） system readiness graph theory systems engineering

分类号 O151.21 [理学—基础数学]

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1Azizian, N., Sarkani, S. & Mazzuchi, T. (2009). A comprehensive review and analysis of maturity assessment approaches for improved decision support to achieve efficient defense acquisition. Lecture Notes in Engineering And Computer Science, 2179 (1):1150-57.
2Azizian, N., Mazzuchi, T., Sarkani, S. & Rico, D. F. (2011). A framework for evaluating technology readiness, system quality, and program performance of U.S. DoD Acquisition Systems Engineering, 14 (4): 410-426.
3Balbuena, C. (2008). Incidence matrices of projective planes and of some regular bipartite graphs of girth 6 with few vertices. Society for Industrial and AppliedMathematics Journal on Discrete Mathematics, 22(4): 135 l- 1363.
4Baron, N. T., Holland, O. T., Marchette, D. J. & Wallace, S. E. (2011). Integrating through the fire control loop. National Fire Control Symposium, 19. Lake Buena Vista, FL.
5Bilbro, J. W. (2007). A suite of tools for technology assessment. AFRL MaRtrity Conference, Virginia Beach, VA, September 11-13.
6Box, G. E. P. & Draper, N. R., (1987). Empirical model building and response surfaces. John Wiley & Sons, Inc., New York, NY.
7Bowles, J. B. (2004). An assessment of RPN prioritization in a failure modes effects and criticality analysis. Journal of 1EST. 47:51-56.
8Dacus, C. L. (2012). Improving acquisition outcomes through simples system technology readiness metrics. Defense Acquisition Review Journal, 19 (4): 444-461.
9DeNezza, E. J. & Casey, A. G. (2014). Future space system acquisitions: is the key "what" or "when"?. Defense Acquisition Technology and Logistics, 9: 9-14.
10Department of Defense (2009). Technology Readiness Assessment (TRA) Deskbook, Washington, DC.