From OFAT to Mixture DOE: Intuitive Space Filling Designs in JMP (2026-US-PO-2938)

One-factor-at-a-time (OFAT) experimentation remains common in the pharmaceutical industry, particularly during early development, despite well‑known efficiency limitations compared with design of experiments (DOE). This poster presents a gene therapy case study illustrating how JMP supported a transition from OFAT to a mixture DOE strategy through visualization‑driven design choices and intuitive exploration of experimental space.

The application involved plasmid components with proportions constrained to sum to unity, making the system inherently mixture‑based. JMP’s ternary plots were used to clearly visualize the feasible formulation space, establishing a shared understanding of the mixture structure and enabling more effective scientific discussion around experimental strategy.

A space filling mixture design was implemented in JMP to explore the formulation region. Unlike traditional optimal designs that often emphasize boundary points, the space filling approach provided even coverage of the design space. This coverage aligned well with experimental intuition, increased confidence in the design, and supported a shift away from OFAT.

This case study demonstrates how JMP’s visualization tools and space filling mixture designs can support practical adoption of DOE by aligning statistical rigor with how scientists explore and reason about experimental space in gene therapy applications.