Using My Fitness Tracker's Data To Get A Superhero-Inspired Physique
Analyzing two year's of fitness tracker data using Minitab Statistical Software to answer: does adding resistance training improve calories burnt compared to pure cardio?
Improve Your Production Stability for Competitive Manufacturing with Minitab Engage
Unstable behaviors generate quality problems experienced by customers later on. Use the modern toolkit of Minitab for production stability for competitive manufacturing.
Five Guidelines You Need to Follow to Create an Effective Value Stream Map
Value stream mapping is a cornerstone of the Lean process improvement methodology, and also is a recognized tool used in Six Sigma. A value stream map illustrates the flow of materials and information as a product or service moves through a process. Creating a “current state” value stream map can help you identify waste and also makes it easier to envision an improved state for process in the future.
Concluding Our Golf DOE: Time to Quantify, Understand and Optimize
Last week on The Minitab Blog, we used Minitab Statistical Software to review analysis of covariance (ANCOVA) and blocking variables in our ongoing design of experiment (DOE) on how to get the longest drive in your golf game. Now let’s finish it. We’re ready to review and present our results.
How Can You Fix the Process and Improve Product Development with Simulated Data? See All the Scenarios with Monte Carlo
How do you commit to realistic forecasts and timelines when resources are limited or gathering real data is too expensive or impractical? Can simulated data be trusted for accurate predictions? That’s when Monte Carlo Simulation comes in. Check out this step-by-step guide.
Step 1: Pinpoint Waste. Step 2: Deal with It. 5 More Critical Lean Tools
Step 1: Pinpoint Waste. Step 2: Deal with It. 5 More Critical Lean Tools
Drive Efficiency in Your Process: 5 Critical Lean Tools
Drive Efficiency in Your Process: 5 Critical Lean Tools
Getting the Most Out of Your Text Data Part III
Getting the Most Out of Your Text Data Part III