It's hardly uncommon in the life sciences – and other industries for that matter – for processes to be suboptimal or not well characterized. It can be a real challenge to make these processes robust to variance in critical parameters like materials, suppliers and equipment when you're unable to clearly define the design space. These challenges can delay your ability to get a process up and running as soon as possible or even spell regulatory issues down the road.
You need a strategic approach to experimentation to overcome process challenges. When you apply this strategy along with a firm understanding of design of experiments (DOE), you will be able to identify actual critical process parameters and understand their relationship to your critical quality attributes (CQAs).
In this video, you will learn how to select the best DOE approach for your experimental needs, weighing options like custom designs, mixture designs and definitive screening designs. By adopting the right, tailor-made approach to experimentation, you'll be able to more quickly identify the design space and get your processes back into control faster and at lower cost to your organization.