Implement the Lean Six Sigma approach with Python to optimise logistics and supply chain operations.
Apply Lean Six Sigma Methodology to solve operational issues and improve processes with statistical tools.
Lean Six Sigma - Operators Training Problem
🎓 Topic
Perform a Kruskal-Wallis test evaluating the impact of training on warehouse operators’ productivity.
Perform a Kruskal-Wallis test evaluating the impact of training on warehouse operators’ productivity.
📰 Related Articles
Lean Six Sigma with Python — Kruskal Wallis Test
How to replace Minitab with Python to perform Kruskal Wallis Test evaluating the impact of training on warehouse operators’ productivity

Lean Six Sigma - Drivers Dispatch Problem
🎓 Topic
Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network.
Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network.
📰 Related Articles
Lean Six Sigma with Python — Chi-Squared Test
Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network

Lean Six Sigma - Warehouse Productivity Bonus Problem
🎓 Topic
Replace Minitab with Python to perform a Logistic Regression to estimate the minimum bonus needed to reach 75% of a productivity target.
Replace Minitab with Python to perform a Logistic Regression to estimate the minimum bonus needed to reach 75% of a productivity target.
📰 Related Articles
Lean Six Sigma with Python — Logistic Regression
Replace Minitab with Python to perform a Logistic Regression to estimate the minimum bonus needed to reach 75% of a productivity target

