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Model‐based architecture and programmatic optimization for satellite system‐of‐systems architectures

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  • Michael LaSorda
  • John M. Borky
  • Ronald M. Sega

Abstract

This paper presents a new approach to architecture optimization for an enterprise or System of Systems (SoS) with the goal of enhancing individual system acquisition programs and the operational effectiveness of the enterprise as a whole. Replacing the current common practice of utilizing one or two technical parameters serially to evaluate candidate architectures is a better method that employs a fuller set of technical and programmatic variables in a Model‐Based Systems Engineering (MBSE) context. Integrated architecture modelling and optimization is performed in a tool‐supported MBSE process to identify an optimum architecture solution. This specifically addresses the predesign phases of a system acquisition program where leverage on total program cost is the greatest. We seek to improve the ability to deal with challenges such as management independence, technical diversity, and lack of synchronization across the programs involved in a SoS. This implementation results in a higher quality optimization with a more informed, and traceable selection decision. An example satellite communications SoS case study is used to develop the approach and highlight its utility.

Suggested Citation

  • Michael LaSorda & John M. Borky & Ronald M. Sega, 2018. "Model‐based architecture and programmatic optimization for satellite system‐of‐systems architectures," Systems Engineering, John Wiley & Sons, vol. 21(4), pages 372-387, July.
  • Handle: RePEc:wly:syseng:v:21:y:2018:i:4:p:372-387
    DOI: 10.1002/sys.21444
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