IBM Rapid Move for SAP S/4HANA

1 use case using this technology · by IBM

1published use cases

1industry

0countries on record

Machine Learning

top AI capability

Evidence mix: High 1 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

ManufacturingMachine Learning

ArcelorMittal Enhances Steel Production Through Digital Innovation

ArcelorMittal partnered with IBM Consulting and Infosys to modernize operations through AI, cloud technology and SAP S/4HANA migration. At ArcelorMittal Eisenhüttenstadt, machine learning was introduced to predict and prevent surface defects on automotive steel sheets. At the Hamburg wire rod plant, AI optimized the trimming process by analyzing historical production data to determine optimal cutting points, reducing trim scrap by 20% and contributing to energy savings and lower CO2 emissions. ArcelorMittal also deployed a bio-inspired Ant Colony Optimization algorithm to calculate optimal production schedules, reducing downtime and material waste. At AM/NS India, IBM Consulting used IBM Rapid Move for SAP S/4HANA to migrate data and applications from outdated platforms to a single SAP instance across locations in Dubai, Indonesia and India.

ArcelorMittalMachine learning (defect prediction) · Ant Colony Optimization algorithm · SAP S/4HANA +1