Role of Data Analytics as a Tool for reaching Operational Excellence a case study with integration of Data Analytics model in Aluminum foundry of battery housing production and its effect on the product quality results

Abstract

The current market situation not only in the automotive segment is very unpredictable and very volatile. The missing semi conductors, war conflict in 2022 is bringing many phenomena as a price and energy, material and personal costs increase. The businesstransformation in automotive segment is moving from internal combustion engines to electrifications what brings also many challenges and opportunities. This all brings the pressure on the OEMs supplier chain to produce their products effectively with high effectiveness in shortest possible time and low product price. To sustain competitiveness on the market the supplier chain has to adopt it and challenge to these changes. The new era of Industry 4.0 brings many opportunities where integration of big data analytics in real case study. The experience with proposed random forest algorithm is displayed on the real case study of battery housing production in aluminum high pressure die casting foundry. The final model precision is reached 74,9% with recall on the level 60,6%. So far there aren’t similar experiences and results in the foundry business to compare on realcase situations. The internal quality was significantly improved after implementation of outputs from the model results what brought the battery housing production closer to reaching operational excellence. Data analytics integration can help organization improveinternal performance and financial indicators.