Fig 5 - uploaded by Sirous Yasseri
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A simple system comprising ten components arranged into three modules. No integration with the environment is required
Source publication
Systems readiness level (SRL) is a metric defined for assessing progress in the development of systems. The methodologies to estimate SRLs are built on the technology readiness level (TRL), originally developed by NASA to assess the readiness of new technologies for insertion into a system. TRL was later adopted by governmental institutions and man...
Contexts in source publication
Context 1
... some technologies may be bundled together to create subsystems so that more vendors can be involved, or for the purpose of parallel manufacturing. Table 5 shows a DSM for this ten-component system as shown in Fig 5. The diagonal terms are the maximum TRL in the scale (9 in NASA scale). The off-diagonal terms are the IRL of two interfacing components. ...
Context 2
... is differentiated from readiness. For example, component 7 in Fig 5 has been in an operational system for some years, but when it is used for a new system, it is not considered ready for the new situation and enters into the new system at level 6, or level 7 on NASA scale. Attainment of levels 8 and 9 must be proven within the environment of the new system. ...
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Citations
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This paper proposes a framework using a community maturity level metric to determine the integration readiness of interface elements in a particular network cluster. As a proof of concept this methodology is applied to an aircraft seating system to assess the readiness of complex interfaces before proceeding to full‐scale production and systems integration. A multi‐objective genetic algorithm, MOGA‐Net, is coupled with the Newman‐Girvan modularity metric as a clustering algorithm. This algorithm identifies system elements grouped by common interfaces, referred to as community clusters. The TRL and IRL values for these elements is then used to calculate an overall community maturity level. The achieved performance in these clusters is then compared to the target performance to determine overall maturity of the interfaces. This is compared to other system readiness metrics and interface readiness metrics as applied to the aircraft seating system and was found to be more consistent with subject matter expert evaluations during the critical design review. This gives a better representation of the true readiness of system interfaces before entering design reviews to reduce overall integration risks.
