When you need to ensure product robustness, define an optimal process or formula, or determine the best way to make changes or substitutions, you need a data analytics method and software tool that gives you confidence and simplifies your work. MODDE ® Design of Experiments (DOE) Software is that tool.
Design of Experiments (DOE) is a data analytics method that helps you plan, conduct, analyze and interpret controlled tests to determine which factors exert influence over your product quality, stability or other key process attributes. Rather than experimenting with one parameter at a time, DOE speeds up the process and helps you identify important interactions by manipulating multiple factors at the same time.
DOE supports a quality by design (QbD) approach to product development that is favored by regulatory agencies. By building experiment certainty and reproducibility into your process, you can be confident in the robustness of your formulation and quality of your final product.
DOE supports a Quality by Design (QbD) approach that helps demonstrate product robustness and determine acceptable ranges for formula composition to m.
DOE supports a Quality by Design (QbD) approach that helps demonstrate product robustness and determine acceptable ranges for formula composition to m.
DOE helps develop processes to reduce waste, improve environmental footprint and identify the best substitutions for ingredients affected by market sc.
MODDE ® Design of Experiments Software Speeds Time to MarketReducing the number of experiments needed to determine the right process or formula means a faster time to market. MODDE ® DOE software helps you verify the statistical accuracy of your results, cull the data, and ensure your models are viable.
With MODDE ® you can:
Find out how you can embed Design of Experiments into your solution and reduce the risk of human error by automating the data transfer.
MODDE ® -Q saves you time in development, offering all the capability of MODDE ® Pro. The easy-to-use Software Development Kit (SDK) speeds up development of your own AI or ML solution and provides a user-friendly interface.
EduPack is an educational package for academia with all you need to learn data analytics. With hands-on practical skills to solve problems and explore data, you can become the master of your data.
In Design of Experiments (DOE) you can build knowledge by setting up well planned experiments and get detailed information of how the process works. This will save you time and improve the quality of your results.
DOE is an essential tool to ensure products and processes satisfy Quality by Design requirements imposed by regulatory agencies. Using a QbD approach to develop your testing process can help you reduce waste, meet compliance criteria and get to market faster.
DOE helps you create a reliable QbD process for assessing formula robustness, determining critical quality attributes and predicting shelf life by using a few months of historical data.
Using a Quality by Design (QbD) approach to develop the testing process and to choose the critical quality attributes for a pharmaceutical product can help to: