FUTURE MANUFACTURING
Data analysis and association in the service process
Intelligent data analysis which is based on artificial intelligence is not sufficient all by itself , however . Data analysis and prognostic assessments can predict problems and their causes . But data can only make companies ' customer service much more productive if it is available in the following form in the following form :
● Data is automatically and intelligently associated with existing service knowledge and technical documents .
● Data is displayed as a solution at the right point in the service process based on an analysis of the data .
This type of service solves problems faster and makes customers more satisfied . At this stage of the process as well , semantic and knowledge-based AI techniques play a key role .
These techniques make it possible to predict whether and when maintenance of machines or systems is needed . They also indicate how the maintenance must be performed , and with what components and spare parts . This enables users to plan repair work using the right spare parts in advance , which reduce downtimes , and save unnecessary costs . In addition , techniques of this kind prevent sudden shutdowns , or at least help resolve any failures more quickly .
Operator and OEM benefit
This gives rise to a fully integrated service process that extends from the analysis of data to the completion of the initiated action and back . Such an arrangement also ensures that the information about the measures that are carried out flows back . To put it simply , the process goes from signal to action . More and more OEM are successfully implementing data analyses of this sort and supplying their ticket systems with an integrated knowledge base and maintenance planning . Both sides benefit from this : The operator improves its operations and increases overall equipment effectiveness ( OEE ). The OEM obtains direct insight into actual machine conditions and improves its maintenance and repairs measures , possibly even by introducing supplementary new digital products .
Automated monitoring
In one example , the company Koenig & Bauer , a manufacturer of printing machinery , is giving its customers the opportunity to have their production equipment automatically monitored in the framework of an extended service agreement . The machines of participating customers are connected to a cloud-based predictive maintenance solution and monitored using an AI-based component that analyzes the relevant data . Notifications about potential service issues are sent to service engineers or the hotline of the manufacturer . As part of an extended service agreement ,
AI-based data analysis helps users anticipate repairs with the right spare parts .
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