Hostname: page-component-848d4c4894-nmvwc Total loading time: 0 Render date: 2024-06-17T08:27:41.119Z Has data issue: false hasContentIssue false

System of systems force structure optimisation

Published online by Cambridge University Press:  03 February 2016

M. S. McCoy*
Affiliation:
Boeing Technical Fellow The Boeing Company, St Louis, USA

Abstract

A system of systems study plan was developed and a prototype was executed to optimise a recommended military force structure. This methodology defined the optimal force structure, using constrained optimisation to reflect budget limitations and desired mission performance. The force structure included surface and air assets, a command, control, communications, computers, intelligence, surveillance and reconnaissance (C4ISR) architecture, and a recommended logistics infrastructure. A second aspect of the study plan defined the total acquisition strategy, which accounted for: retiring legacy assets, extending the service life of existing assets until new replacements became available, and acquiring new assets for deployment, within the budget allocation. This methodology combined various modeling and simulation techniques to meet three study objectives. First, a nonlinear mixed integer programming model maximised performance, subject to cost constraints, cost as an independent variable (CAIV). Second, a dynamic programming model scheduled the transition from the legacy force structure to the future force, defined by the previous modeling technique. Third, a process simulation model simulated performance, over a one-year time period, for 25 areas of responsibility and five missions. This model verified performance estimates generated by the previous models.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2006 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Crossley, W.A., System of systems inspired aircraft sizing: some initial investigations, Conceptual Aircraft Design Working Group (CADWG) 21, Reno, NV, 12 January 2005.Google Scholar
2. Crossley, W.A., System of systems inspired aircraft sizing: some initial investigations, Conceptual Aircraft Design Working Group (CADWG) 21, Reno, NV, 12 January 2005.Google Scholar
3. Crossley, W.A., Delaurentis, D.A. and Peeta, S., Purdue University efforts in system of systems, invited presentation to the US Air Force Scientific Advisory Board quick-look study of systems of systems, Arlington, VA, 17 May, 2005.Google Scholar
4. Mane, M. and Crossley, W.A., System of systems inspired aircraft sizing applied to commercial aircraft/airline problems, AIAA-2005-7426, AIAA 5th Aviation, Technology, Integration, and Operations Conference (ATIO), Crystal City, VA, 26-28 September, 2005.Google Scholar
5. Kaplan, J., Challenges and approaches to system of systems engineering, Presented at 1st Annual System of Systems Conference, 14 June, 2005.Google Scholar
6. Delaurentis, D.A. and Callaway, R.K., A system-of-systems perspective for future public policy, Review of Policy Research, 21, (6), November 2004.Google Scholar
7. Popper, , Bankes, , Callaway, , and Delaurentis, ; System of systems Symposium: Report on a Summer Conversation, November, 2004.Google Scholar
8. Lewe, , Ahn, , Delaurentis, , Mavris, and Schrage, , An integrated decision-making method to identify design requirements through agent-based simulation for personal air vehicle system; AIAA-2002-5876.Google Scholar