Get it right from the start!
More than an ordinary Design of Experiment software
Do you want a solution that you can trust and where you easily can create new insights by smart experimental setups then you should try MODDE Pro. It includes the optimal tools for an understandable advanced quality assessment of your results that will guide you to trustworthy conclusions. Whatever your industry – be it petrochemicals or pharma, food or fragrance, pulp, paper or plastic – then MODDE Pro is your solution for Design of Experiments and Quality by Design analysis.
The right solution for easy as well as advanced DOE’s, created for the experimentalist
MODDE Pro is an advanced, high-quality DOE solution from MKS Data Analytic Solutions. Designed to be straightforward to use, its graphical interface and analytics support give you complete confidence in the way you interpret your results. We have used our 30 years of data analytic experience to turn MODDE into a powerful solution. MODDE Pro takes DOE to a new level with its quality analysis functions.
Create knowledge with confidence
MODDE Pro provides you with a quality analysis on your decisions and looks at the total risk picture on your overall options. It will warn you about critical settings and guide you towards more robust settings. Some of the unique features is robust optimization and the complementary setpoint analysis including risk estimate. Other specific Design creation features is the reduced balanced multilevel design that solves complicated design problems with elegance.
With MODDE Pro, you get:
- Robust optimum identification
- Identification of acceptance region for operations
- Interactive setpoint analysis with risk estimate
- Reduced balanced multilevel design
- Stability testing design setup
- Perfect complimentary designs
- Extended Proven Acceptable Range functionality
- Hybercube inscribed in Design Space
Scientific investigations involve changing a number of controlled variables to direct the response in question towards a desired level. Design of Experiments (DOE) is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using only the minimum of resources. DOE is the backbone for efficient QbD implementation strategies. The final specifications for a region where all specifications are fulfilled to a defined risk level is called Design Space.
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