How to replace Minitab with Python to perform Kruskal Wallis Test evaluating the impact of training on warehouse operators’ productivity
Lean Six Sigma (LSS) is a method based on a stepwise approach to process improvements.This approach usually follows 5 steps (Define, Measure, Analyze, Improve and Control) for improving existing process problems with unknown causes.
Find in the link below a short animated explained video to understand the concept behind this solution
In this Article, we will explore how Python can replace Minitab (Software widely used by LSS experts) in the Analysis step to test hypotheses and understand what could improve the performance metrics of a specific process.
You are the Continous Improvement Manager of a Distribution Center (DC) for an iconic Luxury Maison focusing on Fashion, Fragrances and Watches. The warehouse receives garments that require final assembling and value-added service (VAS) during the inbound process.
With the support of the R&D team, you designed training for the VAS operators to improve their productivity and reduce quality issues.
Does the training have a positive impact on the productivity of operators?
The training has a positive impact on the productivity of VAS operators.
Randomly select operators and measure the time per batch (Time to finish a batch of 30 labels in seconds) to build a sample of 56 records.
This repository code, you will find all the code used to explain the concepts presented in the article.
Senior Supply Chain and Data Science consultant with international experience working on Logistics and Transportation operations.
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