Trendtopics of productronica 2019

Smart Factory/Smart Maintenance: Smart Manufacturing in the Digital Factory

The digitization of production in the Smart Factory presents great challenges for companies. They need to integrate new digital solutions into running production systems and involve employees in the transformation process. This is not only about the fusion of IT and production technology, but ultimately about a fundamental change in the entire corporate culture and structure. Because, in the future, people, machines and products will permanently communicate with each other along the entire value chain.

Smart Factory has asserted itself

The fourth industrial revolution with the concept of Industry 4.0 is characterized by a comprehensive digital interconnectedness of people, machines, resources and products. One of the core elements is the Smart Factory.

Many studies indicate that companies generally see great potential for their business in it. Now that corporations and large companies have already consistently taken this path, a Deloitte study found that 83 percent of the surveyed managing directors and board members in medium-sized companies are now also actively involved in Industry 4.0 initiatives. The focus here is on greater efficiency for existing business processes and cost reductions.

Smart Factory—Smart Manufacturing in the Digital Factory

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Predictive maintenance—more than just maintenance

In modern, narrowly timed production and logistics processes, machine availability is at the very top of the priority list. Unscheduled maintenance work and downtimes not only drive up maintenance costs, they also quickly jeopardize the delivery capability.

With predictive maintenance, there is finally a satisfactory solution to this problem. Not only because it reduces costs and increases plant availability, but also because, thanks to the introduction of service models, machine manufacturers are also able to increase sales and enhance customer loyalty.

Predictive maintenance builds on condition monitoring which already provides real-time information on the operating status of machines and peripheral environmental data. In combination with process and ERP data as well as machine learning methods, failure and wear can thus be predicted. Among other things, this allows the remaining service life of machines and individual components to be determined at any time.

Learn about the numerous possibilities offered by Smart Factory and Smart Maintenance in the field of electronics production at productronica 2019. The presented use cases range from autonomous logistics systems to machine-to-machine communication to the application of artificial intelligence.

More about Smart Factory and Smart Maintenance at productronica

The focus day Smart Maintenance will take place on Thursday, November 14, 2019 at the Innovation Forum, hall B2 booth 441.

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