- Why the current trend in the machinery industry is resulting in significant unnecessary waste
- A demo of how to use knowledge graphs and network effects to identify spare parts
- How machine suppliers can find occurrences of the same spare part in different machines with AI
- How an intelligent network works for efficient repairs, benefitting both machine producers and operators
All posts
How an interactive spare parts catalog can revolutionize maintenance and repair
Summary
Nowadays, the modern buyer's mindset results in significant waste, primarily because there exists a gap in understanding how to repair products and which parts need replacing. Even when access to this information is available, the service manuals are often overly technical, and the repair process is complicated and time-consuming. How can we make the collaboration between machine manufacturers and operators easier, so they can reduce waste and improve the overall efficiency of the machinery industry?
Watch the demo of how to use a knowledge graph for more efficient repairs in Aftermarket, recorded during the Google Cloud Learning Expedition at SPREAD HQ. Frederik Günther highlights how both machine manufacturers and operators can reduce downtime by storing product data in the Engineering Intelligence Network, as it offers possibilities for intuitive spare parts management, access to documentation, and an online shop to place an order.
Experts
Hosted by
Former Production Engineer at Mercedes and Consultant at Porsche
Published on
19.10.2023