Maintenance personnel know the problem: machine downtimes due to missing spare parts are time-consuming and cost-intensive. This is particularly annoying when the time-consuming searches and high stock levels result from poor spare parts master data. How can these challenges be overcome?
This was the question addressed by experts from ElringKlinger, the world's leading systems partner to the automotive industry, in our webinar Transparency in the material master: The path to efficient spare parts management, which was held virtually in March.
The highlights
- First-hand experience from Director Maintenance at ElringKlinger René Hackbart
- Live demo of the SPARTECH app on the ElringKlinger material master
- Concrete outcomes of ElringKlinger including Q&A session
Watch the full-length recording of the webinar now and learn from ElringKlinger's experience. Please note that the recording is in German.
You will also learn how you can use SPARETECH to
- Find spare parts easily (even without material or type designation)
- Identify and avoid duplicates in the material master
- Create material quickly and automatically
- Manage spare parts across plants
Our speakers at a glance
Rene Hackbart
Director Maintenance | ElringKlinger
René Hackbart has been Head of Maintenance at ElringKlinger worldwide for more than 5 years. The graduate engineer for production technology has been working for the world's leading systems partner to the automotive industry since 2012. With more than 15 years of professional experience in the field of maintenance, he knows what challenges must be overcome in practice.
Stefan Heinkel
Project Engineer Corporate Maintenance | ElringKlinger
Stefan Heinkel has been working as a project engineer at ElringKlinger for 9 years and is responsible for the introduction of uniform standards and processes in maintenance worldwide. As a Global SAP PM Key User, he has been the contact person for all aspects of master data and spare parts management since 2014. He knows the weak points of ERP systems first-hand and understands how the master data quality can be sustainably increased.