Upsher-Smith Laboratories used Design of Experiments to optimize a fluid bed coating process that was producing inconsistent results.
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.
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!
This paper uses the fabrication of nanoparticles as an example for showing a statistically-rigorous approach to design and analysis of pharmaceutical experiments.
Researchers successfully used DOE to evaluate potential methods for removing three common endocrine disrupters. The researchers treated solutions containing the EDCs nonlyphenol (NP), bisphenol A (BPA) and triclosan (TCS) with an enzyme preparation from the white rot fungus Coriolopsis polyzona.
Optimizing biological assays conditions is often a challenging process facing scientists. The demand to produce quality and robust assays that work across a range of biological conditions is often strived for along with a short development timeframe. In addition, automated systems are often required to enable scientists to screen in a high-throughput environment.