Added value from machinery and production data

Just imagine that your top sellers in the future will no longer be certain types of machines, but instead the availability of the machines or a guaranteed number of parts produced using said machines. We will work together with you to make this vision a reality, using tailored analytics solutions to implement predictive quality and predictive maintenance solutions, for example.

New business models

New business models

Generate advantages over your competition by means of data-based smart services, such as the sale of production availability.

Top product quality

Top product quality

High-quality products are guaranteed thanks to seamless automated process monitoring and production quality forecasting procedures.

Maximum productivity

Maximum productivity

Predictive maintenance measures ensure failure-free operation and increase production efficiency.

Reduced costs

Reduced costs

Predictable, need-based maintenance and service measures result in markedly lower life cycle costs for your machines.

Satisfied customers

Satisfied customers

The offer of higher machine availability and an increase in productivity will raise your customer relationships to a new level.

Impetus for innovation

Impetus for innovation

By using the knowledge of how your machines are used, for example, you can further develop future generations and data-based services in a targeted manner.

Industrial Analytics in practice

Otto Boge GmbH & Co. KG

Compressed air technology: compressors

Task:

  • Prediction of the wear behaviour of critical compressor modules
  • Identification of the optimal operational configuration of the compressor 
  • Monitoring of the compressed air supply
  • Prediction of compressed air availability

Benefits:

  • Implementation of new business models due to data- and platform-based services
  • High levels of efficiency in the supply of compressed air
  • Guaranteed availability of compressed air
  • Lower maintenance and service costs

Grenzebach Maschinenbau GmbH

Robotics: friction stir welding

Task:

  • Monitoring of welding process during runtime
  • Monitoring of weld seam quality
  • Prediction of tool wear

Benefits:

  • High-quality welding seams guaranteed
  • Reduction of waste
  • Higher plant availability 
  • Lower maintenance and service costs

Ferag AG

Materials handling: newspaper processing

Task:

  • Monitoring and prediction of changes in chain length
  • Identification of individual damaged chain sections
  • Increase of service efficiency by means of analytics-based service technician support

Benefits:

  • Improved production planning by means of the provision of support in the decision-making process and transparency regarding plant condition
  • Reduction of service and maintenance costs by means of predictive service work
  • Consolidation of customer loyalty and of our competitive position by means of data-based services


BOGE has started to provide progressive servicing

Using a tailored analytics solution from Weidmüller


Analytics modules for the performance of data-based services

Anomaly Detection

Detecting unusual machine behaviour

Data-based modules help to automatically identify deviations from normal machine behaviour during runtime. Faults and errors that would be overlooked by rule-based condition monitoring are detected quickly and can thus be rectified in good time by machine operators and service technicians.
Detecting unusual machine behaviour

Anomaly Classification

Finding and fixing failure roots

The machine condition is transparent at all times thanks to the acquired information. Errors on machine modules are detected and can be localised easily. This dispenses with the need to carry out extensive causal investigations. Quicker diagnoses result in noticeably shorter downtimes and therefore an optimal production output.
Finding and fixing failure roots

Predictive Maintenance

Predicting failures before they occur

Support machine operators and service technicians through the use of proactive notifications If knowledge of imminent errors or unwanted conditions is available, machine operators and service technicians can make decisions more easily, plan maintenance measures in good time and minimise downtimes, thus ensuring increased and reliable availability.
Predicting failures before they occur

Predictive Quality

Monitoring and predicting product quality

By constantly monitoring sensor, status and process data, the quality of products can be predicted throughout each individual production phase. This means that production parameters can be adjusted in good time in order to reduce waste. The early detection of missing parts increases resource efficiency.
Monitoring and predicting product quality

Smart connections from sensor to Cloud

Weidmüller lays the foundations for future-enabled Industry 4.0 solutions

Find out about our three-level solution: communication-enabled components for the provision and processing of process data, the open, platform-independent automation modular system u-mation and customised digitalisation solutions for the optimisation of manufacturing performance levels.

Establish new business models

Get in touch now and arrange a non-binding consultation appointment at your premises.