Management Science
Optimization
Lagrange multipliers and optimality
SIAM Review
Identifying controlling features of engineering design iteration
Management Science
Journal of Mathematical Psychology
Multicriterion Optimisation in Engineering
Multicriterion Optimisation in Engineering
Multiattribute Preference Analysis with Performance Targets
Operations Research
An Introduction to Copulas (Springer Series in Statistics)
An Introduction to Copulas (Springer Series in Statistics)
Effects of disciplinary uncertainty on multi-objective optimization in aircraft conceptual design
Structural and Multidisciplinary Optimization
Multiple Objectives Satisficing Under Uncertainty
Operations Research
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Reliability-based design optimization is concerned with designing a product to optimize an objective function, given uncertainties about whether various design constraints will be satisfied. However, the widespread practice of formulating such problems as chance-constrained programs can lead to misleading solutions. While a decision-analytic approach would avoid this undesirable result, many engineers find it difficult to determine the utility functions required for a traditional decision analysis. This paper presents an alternative decision-analytic formulation that, although implicitly using utility functions, is more closely related to probability maximization formulations with which engineers are comfortable and skilled. This result combines the rigor of decision analysis with the convenience of existing optimization approaches.