Tuesday, Aug 6: 8:35 AM - 8:40 AM
2969
Contributed Speed
Oregon Convention Center
Design of Experiments (DoE) is a valuable tool for the pharmaceutical industry to achieve a stable product and robust process, which translates into a reduced time to market.. As such, the DoE methodology helps to identify the critical parameters and their robust operating ranges. DoE is a generic methodology that can be applied to many other sectors such as chemicals, manufacturing, or food. However, the use of DoE is not widespread in these companies. Several authors have identified barriers to the widespread use of DoE, such as a lack of teamworking skills, a perception that it requires more resources than the traditional approach, or the complexity of current DoE software tools. We present guidelines for overcoming several barriers to DoE adoption and illustrate them with a cloud-based DoE software solution. We show how new tools can improve collaboration and lower the barrier to entry for non-expert users. We support our findings with software usage data and a case study.
Design of Experiments
Process Optimization
OMARS designs
Robust Optimization
Cloud Software
Adoption Barriers
Main Sponsor
Section on Statistical Computing