Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/444
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCarly Jackson
dc.contributor.authorRich Volkert
dc.date.accessioned2020-03-16T17:28:39Z-
dc.date.available2020-03-16T17:28:39Z-
dc.date.issued2011-04-30
dc.identifier.citationPublished--Unlimited Distribution
dc.identifier.urihttps://dair.nps.edu/handle/123456789/444-
dc.descriptionAcquisition Management / Grant-funded Research
dc.description.abstractProgram managers (PMs) are expected to quantifiably justify that their program will result in the delivery of a system with the required performance through development. Traditionally, the PM has several technical management tools at their disposal, including Technical Performance Measures (TPMs), modeling and simulation, etc., that provide insight and predictive capability in system performance. When the program matures to a point where actual test data can be gathered, it is compared against expected system performance. The increasing use of the system of systems (SoS) model for the rapid fielding of warfighting capabilities poses new systems engineering challenges for the DoD. Due to the complex nature of SoS interdependencies, PMs are especially challenged when asked to quantifiably predict progress made toward full-capability SoS performance in an incremental development. To support the PM in making technical trades and tracking performance progress for an acknowledged SoS, the U.S. Navy (PMS 420 and SSC Pacific) have been collaborating on the development and verification of an SoS Performance Measure (SPM) tool set. The SPM tool applies a modified TPM-type approach to an SoS construct. However, instead of focusing on a single measurable technical value that can be monitored during development of an individual system, the SPM links the SoS Key Performance Parameters (KPPs) to individual component capabilities, their maturity, and their potential usage rates. The System Maturity Model (SMM), Concept of Operations (CONOPS), and usage rate variance analyses are all considered in the SPM calculation. The SPM tool will be reviewed and valuable lessons learned to date within the Mission Modules Program will be discussed.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesSystems-of-Systems
dc.relation.ispartofseriesSYM-AM-11-041
dc.subjectProgram Manager
dc.subjectTechnical Performance Measures
dc.subjectModeling
dc.subjectSimulation
dc.subjectSystem Performance
dc.subjectSoS
dc.subjectKey Performance Parameters
dc.subjectMission Modules Program
dc.titleProposed Methodology for Performance Prediction and Monitoring for an Acknowledged Systems of Systems
dc.typeArticle
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

Files in This Item:
File SizeFormat 
SYM-AM-11-041.pdf264.03 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.