Abstract Number:
2969
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Dewi Van De Vyver (1), Jose Nunez Ares (2)
Institutions:
(1) N/A, N/A, (2) EFFEX, N/A
Co-Author:
First Author:
Presenting Author:
Abstract Text:
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.
Keywords:
Design of Experiments|Process Optimization|OMARS designs|Robust Optimization|Cloud Software|Adoption Barriers
Sponsors:
Section on Statistical Computing
Tracks:
Software
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