Managing Multiple Sources of Epistemic Uncertainty in Engineering Decision Making 2007-01-1481
Managing uncertainty is an integral part of making well-informed engineering decisions. When formulating a design problem, many of the variables and models contain epistemic uncertainty, uncertainty due to lack of knowledge. If this lack of knowledge is significant, it may be advantageous to acquire additional information before making a design decision. In this paper, we develop a framework for identifying which sources of epistemic uncertainty should be reduced to improve the overall quality of the design decision. Using principles of information economics, utility theory, and probability bounds analysis, we determine how much additional information should be acquired for each uncertain quantity in the decision problem. Our approach is illustrated with an example for the environmentally benign design of an electric vehicle.
Citation: Schlosser, J. and Paredis, C., "Managing Multiple Sources of Epistemic Uncertainty in Engineering Decision Making," SAE Technical Paper 2007-01-1481, 2007, https://doi.org/10.4271/2007-01-1481. Download Citation
Author(s):
Jeffrey Schlosser, Christiaan J. J. Paredis
Pages: 15
Event:
SAE World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Reliability and Robust Design in Automotive Engineering, 2007-SP-2119, SAE 2007 Transactions Journal of Passenger Cars: Mechanical Systems-V116-6
Related Topics:
Electric vehicles
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