2025 Online DOE Summit: Addressing a multivariate and multilevel challenge
In this presentation, we will explore the successful application of Design of Experiments (DoE) in optimizing the development of a conditioning process for liquid radioactive waste. By leveraging Generalized Least Squares (GLS), we systematically analyzed the effects of key production settings while accounting for batch-to-batch variability in the liquid waste and other raw materials.
This data-driven approach enabled us to identify optimal process conditions that ensure compliance with product specifications while unlocking a potential cost reduction—potentially saving multiple millions. This work demonstrates the power of DoE in addressing not only multivariate problems but also multi-level challenges involving multiple sources of variability.
Talk #8 of the 2025 Online DOE Summit
Friday, June 20, 2025 - 14:00 Central European Summer Time