Case Study: a large automotive battery manufacturing company improves battery quality and reduces scrap with Expleo's data-led smart manufacturing analysis

Optimising the automotive battery manufacturing process through agnostic data analysis

The client, a large automotive battery manufacturing company, struggled with extremely high scrap rates of up to 75% when producing advanced lithium batteries, hindering its transition to a smart factory model. Expleo was engaged to use its expertise in data science and automotive manufacturing to analyze and optimize the production process.

Expleo implemented an agnostic data analysis solution using sensors, data science, machine learning, and visualization tools to gather intelligence from the entire manufacturing ecosystem. This data-driven approach allowed the client to drastically improve battery quality, significantly reduce scrap rates, and save on costs. Expleo's work enabled the client to develop a mature Big Data platform and begin its transition into a competitive, data-led company.