Utilization of Experimental Design with JMP, a Statistical Analysis Software for the Chemical Industry
Let's efficiently discover hidden optimal conditions, experimental conditions, and formulation conditions within a limited number of experiments!
In the chemical industry’s research and development, there are complex challenges where many factors, such as the optimization of formulation ratios and the examination of process conditions, affect properties. Additionally, due to constraints on raw material costs and evaluation labor, there is a demand to efficiently gain insights with a limited number of experiments. In this seminar, we will introduce practical applications of Design of Experiments (DOE) using JMP. In the first half, we will explain how to create and optimize experimental designs considering formulation factors and constraints. In the second half, we will present Deterministic Screening Designs (DSD) that can efficiently identify important factors with fewer experiments. 14:00 - 14:45 Practical Application of Experimental Design in the Chemical Industry - Experimental Design Considering Constraints and Formulations 14:45 - 15:30 Connecting Screening and Optimization - Practical Use of Deterministic Screening Designs
- Company：SAS Institute Japan JMP Japan Division
- Price：Other
