Response Surface Methodology: Process and Product Optimization Using Designed ExperimentsRichard F. Gunst1996-08-01articleTechnometrics3,255 citationsclosedNo readable copy stored yet — this record is metadata only.Optimal Experimental Design MethodsSimulation Techniques and ApplicationsAdvanced Multi-Objective Optimization AlgorithmsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 3,255 citations exist upstream.References1979Statistics for ExperimentersCited by2006Modeling and optimization I: Usability of response surface methodology2010Response surface methodology1999Research Issues and Ideas in Statistical Process Control2005State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments2006Robust Design: An Overview2021Designing the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems2017Experimental design and response surface methodology in energy applications: A tutorial review1996Modified Desirability Functions for Multiple Response Optimization