Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study
Akshay Thakur, Robert E. Beck, Sanaz Mostaghim, Daniel Großmann · 2020
In this paper, we classify Kaizen (production process related best practices) from Volkswagen internal knowledge database into their adaptability status over other Volkswagen production plants with help of supervised machine learning. Different criteria's like Return on Investment, implementation time-frame, impact on various other key performance indicators, plant-specific technical details, etc. are used to evaluate Kaizens and eventually cluster them into two categories. Empirical results show that the Decision tree model can predict the degree of adaptability (Success/Denied) with 85% accuracy.