Dieses Bild zeigt den Header zur Success Story Eckelt - Process Mining Pilot. Es wird der Firmensitz von Eckelt gezeigt.

success story


Process Mining Pilot at a
Glass Refiner

Supporting production and identifying potential with process transparency and real-time information

vandaglas Eckelt GmbH, headquartered in Steyr, is a subsidiary of the vandaglas Group and specializes in the manufacture of complex XL glass panels for facades. To comprehensively analyze the production data collected since 2003 for the first time and systematically identify opportunities for optimization in manufacturing, the company turned to process mining. Rothbaum Consulting developed a process mining data model, created product-specific use cases, and analyzed selected process areas. The insights gained enable data-driven optimization of production processes and lay the groundwork for the sustainable use of process mining.

The photo shows Christian Lechner, CEO of vandaglas Eckelt GmbH

By implementing Celonis and with Rothbaum’s support, we have identified many useful starting points for further optimizing our manufacturing processes. The rapid establishment of transparency and the focused work on defined use cases were crucial to the project’s success.

Christian Lechner, CEO, vandaglas Eckelt GmbH

Process Transparency as the Foundation for Production Optimization

Challenge

The extensive production data spanning more than 20 years was to be analyzed comprehensively for the first time in order to provide transparency regarding process flows. The goal was to identify opportunities for optimization and automation in selected focus areas and to demonstrate the added value of process mining for the company.

Implementation

Initially, the pain points were identified, the data connection was established, and the data was reviewed to ensure its suitability for analysis. The project team then prioritized the most relevant use cases and analyzed them in detail to identify specific opportunities for optimization. Finally, the results were evaluated and categorized based on their long-term value.

Results

By developing a data model based on more than 6.5 million manufactured products, a solid foundation for data-driven analysis was established. An examination of key areas of focus identified four specific application areas in which process mining provides continuous added value.

2003

First-ever comprehensive analysis of production data

6.5 million

Evaluated Products in the Production Data Model

4

Use Cases for Process Mining

The chart compares actual costs with estimated costs per workstation and product to identify differences in costs. The ability to analyze costs and the clear presentation of this information enhance competitiveness.
A comparison of actual costs versus estimated costs per workstation and product was conducted to identify discrepancies between the costs. The ability to analyze costs and present them clearly enhances competitiveness.

Detailed Results

  • By analyzing the theoretically possible machine occupancy, it was possible to show that the operating time and thus costs could theoretically be reduced at a workstation with a very high energy requirement (oven).
  • An algorithm was developed to determine the actual production costs of each product. In the future, this algorithm can be used to compare actual costs with calculated production costs.
  • The generated transparency of throughput times shows that there is considerable potential for optimization in the buffer times in front of the systems.
  • By analyzing the breakage reports, it was possible to identify product characteristics that lead to increased scrap.
  • By analyzing the product mix since 2003, it has been possible to derive starting points for trends in demand based on product characteristics.
Mockup des White Papers State-of-the-Art Prozessoptimierung mit Process Mining als Teaser

WHITE PAPER

State-of-the-Art Prozessoptimierung mit Process Mining

Wie funktioniert Process Mining? Welchen Nutzen bringt die Technologie? Und welche konkreten Anwendungsfälle gibt es? Antworten auf diese Fragen erhalten Sie in unserem White Paper zu moderner Prozessoptimierung mit Process Mining.

Download
rothbaum-consulting-success-story-process-mining-pilot-at-vandaglas-eckelt
Portrait of Clemens Wolf, a manager at Rothbaum.
Dr. Clemens Wolf

Senior Manager, Digital Operations

Feel free to contact me!

Do you have questions about the success story or process mining? Or do you have a specific project inquiry? Send me a message, and I’ll get back to you right away.

    You might also be interested in

    The picture shows the logo of EP Power Minerals and flags on the premises of EP Power Minerals for the success story on process consulting in preparation for SAP S/4 HANA.
    Process consulting in preparation for SAP S/4 HANA

    The SAP S/4HANA transformation within the EPPM organization was comprehensively prepared. Targeted process consulting, optimization…

    Learn more

    Preview image of the Tchibo success story
    Cost reduction analysis

    Using strategic process and cost analysis to develop cost-cutting measures in the coffee production network.

    Learn more

    The picture shows the logo of EPPA (The European Trade Association of PVS Window System Supplies) and a storage location for the "Network Design Verbundlogistik" success story
    Network Design Network logistics

    With Supply Chain Design, an integrated network was developed for the reverse logistics of large…

    Learn more

    Talk to us!

    Do you have a specific project inquiry or questions about our services or Rothbaum? Then send us a message and we will get back to you as soon as possible. We look forward to the exchange.