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Predictive Maintenance

Predictive Maintenance & Servicing

Predictive maintenance is one of the most commonly used form of use cases in the age of Industry 4.0 – and an important step towards the smart factory and IoT. The maintenance of machines and factories should never no longer be limited to preventing failures of a production level. Advanced analyses and the anticipation of faults stretch the maintenance intervals, increase the uptime of a machine and thus the productivity of factories go up to 20% in the ideal case. The enormous added value that can be generated by predictive maintenance is versatile and extremely relevant economically.

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Predictive Maintenance Daten über ein Tablet von Werkern abgerufen

Overall Equipment Effectiveness

Meaning and Benefits of OEE

Time and cost pressures are forcing more and more companies to produce high-quality products more effectively and at lower cost. This means that production processes must be designed to be as waste-free as possible. Overall Equipment Effectiveness (OEE) offers enormous potential in production optimization. It is a key figure with which the overall equipment effectiveness can be measured – and which ultimately ensures optimized, effective, and efficient production.

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IT/OT Konvergenz umgesetzt im Orchestra Designer mit Blick auf die Fertigung

Asset Administration Shell

The management shell in Industry 4.0

The Asset Administration Shell is intended to provide a standard way to describe and manage physical assets such as machines, tools, and equipment in industrial environments. Without an administration shell, each machine would have to be individually and manually integrated for automation purposes. This is time-consuming, expensive, and error-prone – and not up to date with regard to Industry 4.0. The AAS pursues the goal of enabling automated integration through standardized asset descriptions on the part of manufacturers. It thus provides the basis for use cases such as Overall Equipment EffectivenessCondition MonitoringPredictive Maintenance and many more.

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Digitalisierung einer Fabrik mit digitalen Informationen zu jedem einzelnen Asset der Produktion

Digital Twin

Digital Image of Production.

The digital age demands upgrades to the smart factoryconnectivity, and data availability – and creates new, exciting models for the digital image of one’s own production facility. A “digital twin”
offers a better exchange of information and ultimately more safetyefficiency and transparency in production. But what is a digital twin? Where and when does it find application and what advantages does this use case of Industry 4.0 bring for manufacturing companies?

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IT/OT-convergence

Integration of information technology and operational technology.

In the course of digitalization and process automation across departmental boundaries, connectivity and data availability are becoming increasingly important. However, processes in production are becoming more and more complex, and the amount of data continues to increase. IT/OT convergence is a necessary step on the way to a technology-based future. Only when the two worlds of information technology and operational technology are combined is it possible to speak of a true smart factory.

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Traceability & Audit Trail Software

Traceability in Production 4.0.

Industry and trade are increasingly demanding greater transparency in production and a supply chain that is fully comprehensible. Especially in the automotive and pharmaceutical industries, production processes need to be monitored closely in order to clearly track interventions and changes. But traceability can also help to produce more effectively and in a more optimized manner. Last but not least, traceability or audit trail software ensures greater connectivity and data availability – and paves the way towards Industry 4.0 in your company.

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GMP Umsetzung mit Orchestra

Condition Monitoring

Reduce failures & costs with Orchestra

Knowing the condition of production machinery and equipment is essential for every production process. Targeted condition monitoring enables companies in the manufacturing industry to optimize the maintenance intervals of machines and systems. Safety, machine efficiency as well as transparency in production are to be ensured by Condition Monitoring.

Use condition monitoring as an important tool and measurable basis for the fine-tuned planning of your production processes.

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Condition Monitoring Aufgaben zweier Werker

Data Architecture

With Data Architecture to Industry 4.0.

Whether for a Digital TwinCondition Monitoring or IT/OT Convergence: A data architecture is the basic prerequisite for pretty much every use case and solution in modern production. Data Architecture paves the way to the Smart Factory and opens up the possibilities of the Internet of Things (IoT) and Industry 4.0. But how does it work?

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