Optimal Experimental Design Methods

Optimal Experimental Design Methods is a research topic within Management Science and Operations Research. Science Explorer counts 18k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the theory and application of experimental design and optimization methods, including Response Surface Methodology, Taguchi Method, multi-response optimization, Bayesian design, factorial designs, robust parameter design, and spatial analysis. The papers cover a wide range of applications in various fields such as engineering, manufacturing, biotechnology, and agriculture.

• Experimental Design
• Optimization
• Response Surface Methodology
• Taguchi Method
• Multi-response Optimization
• Bayesian Design
• Factorial Designs
• Robust Parameter Design
• Spatial Analysis
• Uniform Design