A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs
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Authors
MacCalman, A.D.
Beery, P.T.
Paulo, E.P
Subjects
simulation metamodeling
tradespace exploration
design of experiments
tradespace exploration
design of experiments
Advisors
Date of Issue
2016
Date
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Abstract
This paper describes an approach that leverages computer simulation models and statistical experimental designs for exploration studies during the early conceptual design of a system. We apply the approach to a naval ship design problem and demonstrate how we can illuminate trade decisions among multiple design decisions and evaluation measures using a dynamic dashboard. After performing experimental designs on a collection of simulation models, we can t statistical models that act as surrogates to these simulations. These surrogate models allow us to explore a wider variety of system alternatives rather than xating on a narrow set of alternatives. The purpose of the approach is to simultaneously explore the operational and physical domains using statistical surrogate models in order to illuminate trade decisions between the system’s operational effectiveness and physical design considerations.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1002/sys.21352
Series/Report No
Department
Systems Engineering
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Citation
MacCalman, A.D., Beery, P.T. and Paulo, E.P., 2016. A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs. Systems Engineering, 19(5), pp.409-421. Link.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.