This paper provides (i) an overview of a proposed Systems-of-Systems Enterprise Architecture (SOSEA) CONOPS (Concept of Operations) framework and associated resiliency models, (ii) a summary of the work done by CSUF Graduate Student Team (GST) on the implementation of the framework and advanced mathematical modeling effort for Matlab modeling of the resiliency models, and (iii) preliminary simulations results obtained by CSUF-GST for notional SATOPS and SATCOM SOSEA CONOPS use cases. The key achievements of the CSUF-GST include SOSEA databases for civilian, commercial, and military space and ground systems, orbital dynamics models for simulating SOSEA space systems and ground networks, simplified dynamic communication link margin and availability, and Matlab models for Resilience Assessment Index (RAI), Spectrum Resiliency Assessment Index (SRAI) and Resilient Capacity models against intentional and un-intentional Radio Frequency Interference (RFI) sources.
The paper presents a multiple-criteria decision model based on the concept of pairwise outranking and its use in enterprise architecture assessment. More specifically, the paper applies the Marquis de Condorcet principle found in the ELECTRE models to demonstrate that under highly complex decision situations when existing optimization techniques might not yield optimal outcome, a systematic outranking approach can lead to a satisfactory and safe decision. This paper presents a mathematical version of ELECTRE II (sorting by elimination) implemented in Matlab with visual interpretation. The model was successfully tested on an ex-post notional use case involving four enterprise architecture alternatives based on five evaluation criteria: market uncertainty, technological uncertainty, technical and performance risk, cost and schedule risks, and payoffs and costs.
KEYWORDS: Data modeling, Systems modeling, Computer architecture, Databases, Space operations, Data storage, Aerospace engineering, Visual process modeling, Patents, Model-based design
This paper provides an overview of Aerospace R&D work on digital engineering consistent with the U.S. Department of Defense (DOD) Digital Engineering Strategy encouraging innovation in rapid development of space systems. An objective of this investigation was to identify challenges associated with DE and to formulate an approach to mitigate the challenges. One key challenge within a larger enterprise is the fact that models will be developed by different developers/modelers, using different ontologies, different tools, and different levels of detail. Our approach introduced innovative techniques for connecting disparate DE models, defining/controlling system interfaces and defining/managing interface baseline specifications within a DE construct. The approach includes a proposed flexible, robust, and agile platform and associated implementation framework of processes, tools, digital models, digital threads and digital use cases. The approach is being submitted for U.S. patent application and was applied on a pilot project involving a spacecraft Bus, mission payload (P/L), and digitized PL-to-Bus interface.
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