FUTURE MANUFACTURING
problems . The problem may have occurred in the past in a different machine with the same or similar components , for example , and the solutions in that case may appear to be helpful in the current context .
Use of AI-based knowledge models
To cite another example , the company Bomag GmbH , a leading manufacturer of machines for compacting earth , asphalt and waste , uses an intelligent service system . When maintenance is needed , the system relies on AI-based knowledge models to go from signal to action . By means of a field service app , the company provides customers and service employees with onthe-spot , context-based solutions to the faults and problems they encounter . The app can be used to scan in a dynamically generated QR code which is shown on the machine display . In addition to the fault data , the app provides additional machine information , such as the model and realtime data , and this is then analyzed with the underlying AI . In seconds , any user will obtain an appropriate description of the fault as well as a step-by-step solution so that the problem can be fixed quickly and safely . This helps to prevent downtimes and expensive delays at construction sites .
As a result of the large range of equipment variants , products and deployment scenarios involved , problems in service can be quite complex , especially in the field of machinery and plant construction . The expected departure of experts in the course of demographic change and the need for knowledge transfer will only exacerbate the issue . Especially in this field , therefore , the use of AI applications is worthwhile , and digital technology can be successfully leveraged to boost profitability and increase customer loyalty . l
Eric Brabänder Chief Product Officer Empolis
With the help of artificial intelligence , companies are increasing overall asset effectiveness .
Source : shutterstock
A cloud-based solution monitors machines and automatically informs service technicians or the hotline about potential service cases .
The OEM gains detailed insights into machines and optimizes maintenance and repair measures .
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