Precision slewing bearings and rolled rings manufacturer serving industrial OEMs globally
thyssenkrupp rothe erde manufactures slewing bearings and seamless rolled rings at scale—processing 15,000 tons of steel monthly across 6,200+ employees. The tech stack reveals a manufacturing operation in active systems modernization: heavy use of SAP (ERP, S/4HANA, QM), Siemens automation (NX, CNC, MES), and engineering simulation (ANSYS, MATLAB), paired with recent digital application rollouts and MES-to-ERP integration work. Hiring velocity is accelerating with manufacturing and engineering roles dominating the pipeline, signaling capacity expansion or production-system upgrades.
thyssenkrupp rothe erde is a leading global producer of slewing bearings and seamless rolled rings, serving heavy equipment OEMs across construction, mining, energy, and industrial sectors. Founded in 1961 and headquartered in Dortmund, Germany, the company operates at significant scale—6,200+ employees across multiple continents convert raw steel into customer-engineered bearing solutions. The business model centers on deep customization: close collaboration with customers on material composition, design, and performance specifications drives a high-complexity, high-touch manufacturing approach. Production depth and product portfolio adapt to individual customer needs, underpinned by process standardization (6S, TPM) and quality assurance (SAP QM, design tools, fatigue analysis).
Slewing bearings and seamless rolled rings for industrial machinery and equipment OEMs. The company processes approximately 15,000 tons of steel monthly into customer-specific bearing solutions.
Dortmund, North Rhine-Westphalia, Germany. The company was founded in 1961 and is publicly traded.
SAP (ERP, S/4HANA, QM), Siemens NX for design, CNC and MES systems for production control, ANSYS for simulation, and Power BI for reporting. Current projects include MES-to-ERP integration and digital application rollout.
thyssenkrupp rothe erde's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.