Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4209
Title: Investigation of Leading Indicators for Systems Engineering Effectiveness in Model-Centric Programs
Authors: Donna Rhodes
Keywords: Systems Engineering
Model-Centric Programs
Issue Date: 30-Mar-2020
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Systems Engineering;SYM-AM-20-060
Abstract: Acquisition programs increasingly use model-centric decision-making approaches, generating and using digital assets throughout the life cycle. This transformation is resulting in new digital artifacts, revised processes, and more frequent reviews using models rather than documents. Accordingly, how engineering effectiveness is assessed must evolve. Systems engineering leading indicators provide visibility into expected project performance and potential future states. Visibility into the future state has not traditionally been part of a measurement process, and the leading indicators provide a forward-looking perspective. Prior research transformed lagging engineering metrics to systems engineering leading indicators; however, these are predicated on traditional systems engineering practice that uses document-driven processes and major milestone reviews. The research investigates adaptation and extension of existing systems engineering leading indicators for model-centric programs and how program leaders can use these to proactively assess systems engineering effectiveness in model-centric programs. The potential impact of this ongoing research is twofold: to better provide visibility into projected future state through use of leading indicators in model-centric programs, and to enhance the insights provided by the leading indicators as new digital artifacts enrich systems practice. This paper shares the approach and interim findings of the investigation.
Description: Acquisition Management / Defense Acquisition Community Contributor
URI: https://dair.nps.edu/handle/123456789/4209
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

Files in This Item:
File Description SizeFormat 
SYM-AM-20-060.pdf1.17 MBAdobe PDFView/Open


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