Case Study: Siemens Gamesa (Siemens) cuts time to market for wind power with IBM Consulting on Microsoft Azure

Siemens Gamesa cuts time to market for wind power

Siemens faced slow, error‑prone turbine blade production because each fiberglass blade is custom‑laid by hand, leading to costly rework and delays. To address this, Siemens partnered with IBM (IBM Consulting) to apply Computer Vision, machine learning, edge computing and IoT—built on Microsoft Azure—to provide real‑time guidance and defect detection during the layup process.

IBM deployed camera arrays, ML models on Microsoft Azure IoT Edge and a laser‑grid decision‑support display to give technicians instant alerts and precise placement guidance. The Aalborg pilot accelerated production accuracy and throughput, reduced rework risk, and is expected to pay back in about 2.5 years; IBM’s solution also simplifies scaling to other factories, shortening time to market as Siemens rolls it out globally.

Siemens

Kenneth Lee Kaser

Senior Vice President of Operations – Offshore