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Application of System Design for Operational Effectiveness for Architectural Modeling of the SoS Relationship between Primary and Enabling Systems
Author(s) -
MARILYN T. GASKA,
Joseph Bobinis,
Vincent Galluzzo
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.09.204
Subject(s) - computer science , architecture , systems engineering , systems architecture , reliability (semiconductor) , analytics , system of systems , process management , systems design , software engineering , risk analysis (engineering) , data science , art , power (physics) , physics , business , quantum mechanics , engineering , visual arts , medicine
Government mandates to control costs throughout the life cycle of a product necessitate a comprehensive architecture and methodology from design through operations and sustainment. The Systems Design for Operational Effectiveness (SDOE) model developed by Stevens Institute has become the basis of the Office of the Secretary of Defense (OSD) guidance with a focus on increasing reliability and reducing logistics footprint. The complexity of systems of systems approaches and model based systems development increases when both on-board and off-board enabling systems are considered. Models for both should be included in any comprehensive digital tapestry. There are multiple digital threads for life cycle data for the enabling systems to represent the necessary causal relationships between primary and enabling systems that determine operational effectiveness. To address this challenge, a reusable architecture and methodology for addressing this complexity is the first step. This framework can support definition and advanced application of data analytics and big data approaches to the digital threads that define the interaction between primary and enabling system, the industrial enterprise, and the deployed environment, providing the variables which contribute to operational outcomes, and effectiveness. This includes analysis of feedback from actual operations compared with planned suitability analysis during the design phase

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