Upsher-Smith Laboratories used response surface methods (RSM) to optimize a fluid bed coating process that was producing inconsistent results. Aided by Design-Expert software, scientists discovered a most desirable setup that gave consistent results within specifications with little variability. When transferred to production, the new setup provided excellent results.
This poster displays the abstract and results of an experiment done to optimize enzymatic assays. Experimenters tested buffer, detergent, salt, and cation combinations using a 384-well microtiter plate format. The presence of different detergents and their interactions with different buffers had a profound effect on the enzyme turnover.
A custom rubber molder used DOE to uncover a combination of material selection and manufacturing protocol that created unacceptable results. Armed with this process knowledge, they achieved breakthrough quality improvements.
A major Tier 1 automotive supplier wanted to improve the already high level of quality in their manufacturing process welding nuts to a metal seat frame. They contacted Middle Tennessee State University (MTSU) and requested a design of experiments (DOE) study to determine root causes of torque failures and areas of improvement.
This article demonstrates how to uncover "sweet spots" where multiple fab-process specifications can be met in a most desirable way.
Aerochem Inc. used DOE to develop a chemical paint remover that would remove the coating in less than 2 hours.
Design of experiments was used for a series of computer simulations to design a new generation of muzzle brakes. DOE saves time by reducing the amount of simulations required and makes it possible to optimize the design with a higher level of certainty.
MannKind Corporation used designed experiments to identify and optimize critical process variables involved in producing a small molecule substrate for use in pulmonary drug delivery.
This paper details the fabrication of nanoparticles as an example for showing a statistically-rigorous approach to design and analysis of pharmaceutical experiments.
In this mini-paper, Mark Anderson details an in-class experiment illustrating the power of two-level factorial design. Also learn how to shoot a wicked slap shot!