Multivariate quality loss function cost parameter estimation

Date

2021-08-23

Author

Köksal, Gülser
Dolgun, Leman Esra

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In this study, we consider estimating the cost matrix parameters of the multivariate quality loss function which is commonly used in product and process design parameter optimization. Multivariate quality loss functions consider multiple responses simultaneously for determining the optimal levels of design parameters that yield a high-quality performance. They are also used in quality improvement decision making and statistical tolerancing. To that end, we propose an interactive and evolutionary method for estimating the cost matrix parameters of the multivariate quality loss functions. We present the applicability of the method on a real-life example based on the honing operation of the automotive industry. Additionally, we conduct a computational experiment to show that the problem converges to the underlying loss function after a few iterations even when the information provided by the decision-maker contains certain degrees of errors. The convergence is also shown for di erent variance-covariance structures.

URI

https://www.ifors2021.kr/sub02/sub01_detail.php?pno=TF-2
https://hdl.handle.net/11511/93941

Conference Name

The 22nd Conference of the International Federation of Operational Research Societies

Collections

Department of Industrial Engineering, Conference / Seminar

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AN APPROACH FOR DETERMINING THE COST MATRIX OF MULTIVARIATE QUALITY LOSS FUNCTION Dolgun, Leman Esra; Erişkin, Levent; Özkan, Gökçe; Köksal, Gülser (2020-11-01) Multivariate quality loss functions are commonly used in product and process design parameter optimization, which involves simultaneous consideration of multiple responses in determination of the levels of design parameters that provide high quality performance. These functions are also used in statistical tolerancing and quality improvement decision making. This study investigates the bivariate loss function in terms of its ability to represent different values or preferences a decision maker may attribute...
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Citation Formats

G. Köksal and L. E. Dolgun, “Multivariate quality loss function cost parameter estimation,” presented at the The 22nd Conference of the International Federation of Operational Research Societies, Seoul, Güney Kore, 2021, Accessed: 00, 2021. [Online]. Available: https://www.ifors2021.kr/sub02/sub01_detail.php?pno=TF-2.