Reliability‐based robust design optimization: A multi‐objective framework using hybrid quality loss function

Reliability‐based robust design optimization: A multi‐objective framework using hybrid quality loss function

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Article ID: iaor2010365
Volume: 26
Issue: 1
Start Page Number: 27
End Page Number: 41
Publication Date: Feb 2010
Journal: Quality and Reliability Engineering International
Authors: , ,
Keywords: quality & reliability, programming: multiple criteria
Abstract:

In this globally competitive business environment, design engineers are constantly striving to establish new and effective tools and techniques to ensure a robust and reliable product design. Robust design (RD) and reliability‐based design approaches have shown the potential to deal with variability in the life cycle of a product. This paper explores the possibilities of combining both approaches into a single model and proposes a hybrid quality loss function‐based multi‐objective optimization model. The model is unique because it uses a hybrid form of quality loss‐based objective function that is defined in terms of desirable as well as undesirable deviations to obtain efficient design points with minimum quality loss. The proposed approach attempts to optimize the product design by addressing quality loss, variability, and life‐cycle issues simultaneously by combining both reliability‐based and RD approaches into a single model with various customer aspirations. The application of the approach is demonstrated using a leaf spring design example.

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