Case Studies and White Papers
RTP Company, which compounds custom engineered thermoplastics, used Design-Expert software to determine which injection molding process conditions would optimize conductive properties for a particular material. Their DOE made it possible to explore the complete processing space and provided users with a formula to calculate the conditions that would deliver the required resistivity levels.
Statistical methods are becoming increasingly important for the pharmaceutical industry. The FDA and other regulatory and standard-setting organizations are moving swiftly to establish Quality by Design (QbD) guidance relevant to the needs of pharmaceutical manufacturing. The FDA suggests the use of design of experiments (DoE) because it provides a structured, organized method for determining the relationship between factors affecting a process and the response of that process.
Using Design of Experiments to Optimize Chiral Separation
Via application of response surface methods, Wyeth Pharmaceuticals substantially increased yield of an active ingredient at more robust process conditions.
Schiff Nutrition used DOE to solve an intermittent problem with a multimineral tablet sticking inside the dies of a high-speed rotary tablet press. (To see the figures, download the manuscript from link below.)
The Dresser Waukesha development team adopted the design of experiments (DOE) approach to increase the accuracy of performance estimates and reduce the number of required tests.
This article details the role DOE in achieving Quality by Design (QbD) for the manufacture of active pharmaceutical ingredients (API). It features outputs from Design-Expert, the author's top choice for DOE software.
To accelerate their product development, Z Corporation tooled up their engineers with the knowledge and software to do statistical design of experiments (DOE). The company developed a procedure by which every factor with a reasonable chance of affecting product performance is systematically and simultaneously evaluated via these controlled experiments.
To accelerate their product development, Z Corporation tooled up their engineers with the knowledge and software to do statistical design of experiments (DOE). The company developed a procedure by which every factor with a reasonable chance of affecting product performance is systematically and simultaneously evaluated via these controlled experiments.
Aided by DOE, biochemists determined the statistically significant factors affecting the growth of an E. coli cell line in shaker flasks.
Design of Experiments Helps Optimize Cell Culture Bioproduction System
Invitrogen Corporation utilized response surface methods (RSM) to reveal a complicated array of multi-factor interactions involved in bioprocess development. Using advanced tools in Design-Expert, they achieved more desirable conditions in a minimal number of runs.