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Anderson, C.M., Montgomery, C.D. and Myers, H.R. (2016) Response Surfaces Methodology. In: Process and Product Optimization Using Designed Experiments, 4th Edition, Wiley, 111, 297-320.

has been cited by the following article:

• TITLE: A Response Surface Methodology Approach for Improving OMUX Resonator Quality Factor

  AUTHORS: Khaled Khoder, Annie Bessaudou, Françoise Cosset, Christophe Durousseau

  KEYWORDS: Multicriteria Optimization, Central Composite Designs, Response Surface Methodology, OMUX Filters, Level Set, Desirability Functions

  JOURNAL NAME: Open Journal of Optimization, Vol.14 No.3, July 30, 2025

  ABSTRACT: In this paper, the successful use of Response Surface Methodology (RSM) in optimizing the characteristics of an OMUX resonator is presented. Models for the output responses, with respect to geometric design parameters, are developed using Design of Experiments (DOE) based RSM and Finite Element Method (FEM) simulations. A single optimization objective function, considering all the output responses, is defined and optimized for the design factors. RSM is then coupled with Level Set (LS) method to maximize the quality factor of the OMUX resonator. The proposed optimization process resulted in a 25.3 % improvement in the quality factor compared to the reference value. Moreover, coupling these two optimization methods leads to a structure presenting a volume 34.5% lower than that identified by using RSM only.