The purpose of this article is to provide a survey of the various stages in the development of
response surface methodology (RSM). The coverage of these stages is organized in three …

Response surface methodology (RSM) is a collection of statistical design and numerical
optimization techniques used to optimize processes and product designs. The original work …

Adverse conditions in terms of quality of predictions and robustness are simulated to
evaluate the ability of desirability-based methods for yielding compromise solutions with …

Though laymen may scoff at the notion, we professionals know that statistics texts can be
very good reads. Careful elucidation of complex principles, well-chosen examples revealing …

Multiresponse optimization problems often involve incommensurate and conflicting
responses. To obtain a satisfactory compromise in such a case, a decision maker (DM)'s …

A new loss function-based method for multiresponse optimization is presented. The
proposed method introduces predicted future responses in a loss function, which …

Statistically designed experiments have been employed extensively to improve product or
process quality and to make products and processes robust. In this paper, we consider …

A robust desirability function approach to simultaneously optimizing multiple responses is
proposed. The approach considers the uncertainty associated with the fitted response …

A desirability function approach has been widely used in multi‐response optimization due to
its simplicity. Most of the existing desirability function‐based methods assume that the …

Many designed experiments require the simultaneous optimization of multiple responses. A
common approach is to use a desirability function combined with an optimization algorithm …