Production key figures | Dashboards

Key figures in real time. Decisions based on facts.
KENEXOS® – Turning data into clarity.

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The challenges of managing with production figures

The problems

Transparency is crucial in modern manufacturing environments – but performance data is often scattered in individual systems, Excel files or on paper.

Faults, output, OEE or downtimes are recorded with a delay or not evaluated at all.

This means that there is no basis for quick decisions, well-founded analyses and targeted improvements.

No standardized data basis for key production figures

Time-delayed or manual data acquisition

Lack of transparency regarding capacity utilization, downtimes, rejects and efficiency

No real-time visualization or automated evaluation

Media breaks between production, maintenance and management

High effort for reports, meetings and evaluations

The solution

KENEXOS® consolidates production data in a central system – directly from the plant, manually supplemented or via an interface to MES, PDA or IoT systems.

Key figures such as OEE, availability, performance, quality, fault frequency or throughput are automatically calculated, graphically processed and displayed in role-based dashboards.

This means that everyone involved – from shift supervisors to plant management – receives exactly the information they need.

The advantages of KENEXOS®

Central recording of all relevant key production figures

Real-time dashboards for teams, maintenance and management

Automatic calculation of OEE, MTTR, MTBF, availability and much more.

Connection to machines, IoT devices, MES/BDE systems

Visualization on store floor screens, tablets or control stations

Export functions for reporting, management and audits

Basis for continuous improvement and data-based decisions

KENEXOS® IoT / machine data acquisition

Main benefits: Competitive advantage and reduced costs

Industry 4.0 = networking of machines and IT

Information generated by a machine or measuring system can be divided into process data and product data.

Process data primarily comprises information that is generated during operation and reflects the status of a machine or measuring unit. This can be temperature, energy consumption, etc. It can be

In connection with the operation of a system, product data provides information about the production process, which can include quantities, weights and much more.

For data recording, a “data collector” is the link between the machine and the data backend. It has standardized interfaces and stores the values in a data archive with an optional cloud connection.

In addition to traceability, quality assurance and OEE key figures, the recorded values are the ideal input variables for energy monitoring or maintenance management, especially predictive maintenance.

Small companies and SMEs need to catch up

Industry 4.0 is currently primarily a topic for large companies. They have already successfully implemented various projects and achieved added value within a very short space of time. In small and medium-sized companies, Industry 4.0 (still) only plays a minor role. This must change if companies want to remain competitive in the future. There is a particular need for action in the areas of production, IT and research and development.

Networking and digitalization have arrived in the manufacturing industry and can give the manufacturing industry a huge boost in innovation: Production processes are becoming more dynamic and efficient.

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