Robust parameter design is an effective tool to obtain the best
operating conditions of a given system. Because of its practicability and
usefulness, the widespread applications of robust design techniques provide
major quality improvements. In fact, evaluating the quality performance of the
fitted response model could be a way to reach the possible perfect quality.
This study focuses on the model quality performance criterion and presents a
new optimization approach based on Nash-Sutcliffe efficiency (NSE). The
proposed approach is configured on optimizing the fitted NSE response surface
for the “target is best” case. Furthermore, this study provides a reference in
which NSE model performance criterion is used and modeled by response surface
approach for the first time in the field of quality improvement. The main
advantage of the proposed approach is to allow the practitioners evaluating the
model quality performance by maximizing the fitted NSE response surface which
acts as a measure of model efficiency. The procedure and the validity of the
proposed approach are illustrated on a popular example, the printing process study.
How to cite this paper
Nash-Sutcliffe Efficiency Approach for Quality Improvement
How to cite this paper: Zeybek, M. (2018) Nash-Sutcliffe Efficiency Approach For Quality Improvement. Journal of Applied Mathematics and Computation, 2(11), 496-503.