A Food Manufacturer's Secret Process Improvement Recipe for Saving $35 Million
Learn how Master Black Belt Brian Mapani of PremierFMCG saved $35M with a Lean Six Sigma program, Companion and Minitab Statistical Software.
Trimming Decision Trees to Make Paper: Predictive Analytics and Root Cause Analysis in Minitab
As we collect more and more observational data from our processes, we may need new tools to provide meaningful insights into this information. You can add modern-day machine learning techniques alongside traditional statistical tools to analyze, improve and control your processes.
How Can You Tell if Your Lean Six Sigma Project is Set Up for Success?
Learn from a survey of companies across the US what they believed granted the success of their Lean Six Sigma, OPEX, and continuous improvement programs.
5 Challenges that Keep Even the Best Project Deployments in the Shadows
Learn 5 reasons why assessing the cumulative impact in continuous improvement programs is difficult, even when organizations have robust initiatives.
What Would You Do with an Extra 120 Hours to Drive Improvement?
Explore 3 key insights by a VP of quality for a $1.5 billion-dollar corporation about managing continuous improvement projects with Companion by Minitab.
DMAIC vs. DMADV vs. DFSS: A Guide on Six Sigma Terminology
Learn the steps of Six Sigma abbreviations like DMAIC, DMADV and DFSS and how Minitab Engage process improvement software can help track any project using them.
Using Predictive Analytics to Help Seniors Maintain Their Independence
Predictive analytics is helping to advance assessments healthcare workers use to observe the elderly, and potentially detect and treat conditions earlier.
5 Takeaways from Rolls-Royce's Master Black Belt interview on data-driven Process Excellence
How the Central Process Excellence team facilitates improvement at Rolls-Royce: skillset, methods, tools and capabilities by Colin Noone, Master Black Belt