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Two Applications of Design As a Sequential Decision Process

[+] Author Affiliations
Simon W. Miller, Timothy W. Simpson

Pennsylvania State University, University Park, PA

Michael A. Yukish

PSU/ARL, State College, PA

Paper No. DETC2017-68150, pp. V02AT03A017; 11 pages
doi:10.1115/DETC2017-68150
From:
  • ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2A: 43rd Design Automation Conference
  • Cleveland, Ohio, USA, August 6–9, 2017
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5812-7
  • Copyright © 2017 by ASME

abstract

A promising approach to overcome the challenges of exploring a design solution space is to employ Set-Based Design tightly coupled to Model-Based Systems Engineering, and to treat the design process formally as a sequential decision process. In such a paradigm, designers start with an initial set of potential solutions, using lower fidelity models and analyses to winnow the set, with the process sequentially advancing through smaller sets of alternatives using models/analyses of ever increasing fidelity. The bounds around a solution are constricted until a candidate is chosen. This sequential decision process can itself be subjected to analysis, and optimized to most efficiently arrive the final choice. We have developed a formal model of Design as a Sequential Decision Process, and we illustrate the process through two examples. The examples are from two different design problem domains (finite element modeling with variable grid fidelity, bi-level optimization with combinatorial kernel) thus demonstrating the broad utility of the method. Ongoing and future work are also discussed.

Copyright © 2017 by ASME
Topics: Design

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