Isn’t it “Time to Market” Quality as a Revenue Driver?
Unlock the revenue-driving potential of quality initiatives and accelerate time to market with methodologies like DOEs, DFM, FMEA, and SPC
Optimize Energy Consumption and Yield in Energy-Intensive Industries With Statistical Methods
See how statistical methods like DOE can help energy-intensive industries optimize energy use and yield while reducing costs and environmental impact.
Optimizing Quality with DOE & Predictive Analytics: Uncovering the Key Factors Impacting Your Products & Processes
Read and learn about the benefits of Design of Experiments. See how Minitab can help in the initial planning phase and throughout the entire process.
Celebrate the Holidays: Using DOE to Bake a Better Cookie
Have you ever used Design of Experiments (DOE) to bake the best holiday cookies? Learn how you can with Minitab Statistical Software in this blog.
7 Top Talks from the Minitab Insights Conference
See what goes into a great Minitab Insights Conference presentation. Great stories others want to hear. Discovering new tools in Minitab software. Engaging walkthroughs of finding insights in your data, and recommendations on how to act on them. All packed into a few days of learning and fun.
Besides Traditional Designs, Definitive Screening Designs can help Process & Product Optimization
Optimize your products and processes with Definitive Screening Designs (DSDs). Learn how to use DSDs in Minitab Statistical Software.
Process Validation Tools For Clinical Approval: An Example For Passing the 3 FDA Stage Goals
The FDA recommends three stages for process validation. Let’s explore the stage goals and the types of activities and statistical techniques typically conducted within each. You can use Minitab Statistical Software to run any of the analyses here. If you don’t yet have Minitab, try it free for 30 days.
Guest Post: Location Matters – Data Mining Research to Enhance Accuracy, Benefit Future Studies
Research institutions and museums seek to provide the most accurate data possible to record the past and choose where to explore in the future. Modeling the accuracy of data is essential and nailing down geographical locations of specimen samples as exactly as possible is vital to do it effectively.