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The synthesis of optimal systems design solutions

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  • Tony Shell

Abstract

By building on earlier established work, a nonrecursive approach to design optimization is proposed. A “fractal” method of design is developed that embraces the entire space of candidate system solutions. It provides for the direct synthesis of optimal system design solutions of complex system implementations with multiple components, embodying different technologies, and with multiple levels of design hierarchy. The derivation and decomposition of comparative evaluation criteria and tradeoff functions, using “mathematical orders” over the space of candidate systems, is explored in detail. An extended form of the Subsystem Tradeoff Functional Equation (i.e., nk‐STFE for n components and k evaluation criteria) is developed, and its application to optimal design of complex systems architectures is presented. In particular, the effect of overall constraints on system implementation—in terms of combinatorial constraints on component choice, and the manner in which this is incorporated into a systems‐theoretic approach to complex system design—is discussed. The development of formal (systems‐theoretic) constructs, theorems, and theorem proofs, are provided where necessary. © 2003 Wiley Periodicals, Inc. Syst Eng 6: 92–105, 2003

Suggested Citation

  • Tony Shell, 2003. "The synthesis of optimal systems design solutions," Systems Engineering, John Wiley & Sons, vol. 6(2), pages 92-105.
    • Handle: RePEc:wly:syseng:v:6:y:2003:i:2:p:92-105
    DOI: 10.1002/sys.10037
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    References listed on IDEAS

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    1. Jesse Daniels & Paul W. Werner & A. Terry Bahill, 2001. "Quantitative methods for tradeoff analyses," Systems Engineering, John Wiley & Sons, vol. 4(3), pages 190-212.
    2. Andrew P. Sage & Charles L. Lynch, 1998. "Systems integration and architecting: An overview of principles, practices, and perspectives," Systems Engineering, John Wiley & Sons, vol. 1(3), pages 176-227.
    3. Tony Shell, 2001. "System function implementation and behavioral modeling: A systems theoretic approach," Systems Engineering, John Wiley & Sons, vol. 4(1), pages 58-75.
    4. Yuri N. Levchuk & Krishna R. Pattipati & David L. Kleinman, 1999. "Analytic model driven organizational design and experimentation in adaptive command and control," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 78-107.
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    Cited by:

    1. Romulo B. Magnaye & Brian J. Sauser & Jose E. Ramirez‐Marquez, 2010. "System development planning using readiness levels in a cost of development minimization model," Systems Engineering, John Wiley & Sons, vol. 13(4), pages 311-323, December.

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