Whitepaper: Life cycle data for predictive maintenance
Small and medium-sized companies in particular are hesitant to get involved in IoT technology. "The topic is exciting, but it's too big for us," they often say. However, practical experience in the manufacturing environment shows that the necessary technology is both cost-effective and reliable, and implementation is often possible within very short timeframes.
Predictive maintenance in particular has been identified as one of the first major application scenarios in production as part of Industry 4.0, and for good reason. In many companies, tracking and tracing technologies for reducing unproductive time spent searching for materials or parts can also contribute to significant savings and make logistical processes faster and more efficient. At the same time, they help automate compliance with legal requirements, such as traceability in the pharmaceutical industry.
Medium-sized companies can also benefit greatly from the use cases around IIoT and intelligent maintenance, some of which are relatively easy to achieve.
Read in this whitepaper
- How you save on manual inspection
- How to maintain plants and assets intelligently
- Why an integrative data platform can be the key to optimal maintenance
- How Industry 4.0 can support batch production
- Which savings potentials are possible with Track&Trace
Register now and download your free copy as a PDF. We hope you enjoy reading it.
