Many industrial applications involve more than one quality characteristic. For example, in
robust parameter design, the quality characteristics include the process mean and process …

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

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 …

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

Combining the conventional high-temperature aquifer thermal energy storage system with
the common geothermal reservoir development system is a potential alternative to increase …

It is known that development parameters such as injection and production rate, injection
temperature, and well location and spacing play an important role in determining the …

Setting of process variables to meet a required specification of quality characteristic (or
response variable) in a process, is one of the common problems in the process quality …

Present study under takes multi-response optimization of water and oil repellent finishing of
bleached cotton fabric under Taguchi based grey relational analysis. We considered three …

Multi-response surface (MRS) optimization in quality design often involves some problems
such as correlation among multiple responses, robustness measurement of multivariate …

This paper proposes a robust method for multi-response optimization (MRO) considering the
location effect, dispersion effect, and model uncertainty simultaneously. We propose a multi …