Description

This Master Prompt focuses on experimental systems in which several responses must be considered simultaneously and improvement of one performance measure may worsen another. It extends conventional single-response DOE and Response Surface Methodology into a structured multi-response and multi-objective decision framework. Researchers are guided first to develop, diagnose and validate separate predictive models for each response and only then integrate those models into a transparent optimization procedure. This separation is essential because a mathematically attractive compromise cannot compensate for poorly fitted or experimentally unsupported individual response models.