Case Study: Leading Global Manufacturing Company achieves over 90% yield with Hitachi Vantara

How Global Manufacturer Saves Big With Industrial IoT Solution

Leading Global Manufacturing Company struggled with a polymer mixing process that produced inconsistent quality—yields sometimes fell to 50–60%, causing high scrap rates and crippling production capacity. To stabilize the process amid changing product specifications and variable production parameters, the company engaged Hitachi Vantara to supply an industrial IoT/advanced analytics solution with machine‑learning capabilities to ingest sensor and production data and identify optimal process settings.

Hitachi Vantara implemented an advanced analytics platform that integrated IoT and sensor feeds, visualized and correlated critical variables, and used machine learning to continuously adjust process parameters. The solution eliminated over 50% of poor‑quality batches, raised average yields to above 90%, delivered multimillion‑dollar operating cost savings, increased mixing capacity and throughput, and now continuously adapts to changing product designs and ingredients.