Curtis Park, Principal Scientist, HP Hood
At HP Hood, the use of design of experiments (DOE) has helped to successfully identify formulations in new product development, delighting consumers of our food products.
Throughout our R&D department's wide implementation of DOE, there have been a number of successful DOE models, as well as some unsuccessful ones. One major stumbling block to model building with DOE has been dealing with subjective binary responses such as acceptable/unacceptable. These binary responses provide less information than continuous responses, thus inhibiting the ability to extract meaningful results from designed experiments.
This presentation shares simple and practical strategies for using the JMP DOE platform to convert these binary responses to continuous ones, resulting in improved models and powerful insights. Real-world examples from consumer food products are given to demonstrate how DOE can be used for more than just building models. It can be used to overcome the problem of responses that are difficult to measure.
