How data analysis can help in identification and quantification of improvement opportunities. Case on: Quarto cold rolling mill production processes

Maintenance & Reliability Engineering

Operators of the cold rolling mill face many challenges in their day-to-day operations. Determining the "ideal" process parameters for each product family proves to be a complex task due to the diverse range of raw and finished products, as well as the considerable number of (measured) parameters contributing to this complexity. While operators have overall indicators to gauge performance, these do not provide sufficiently detailed information to measure the specific performance for each product family. This gap hinders the identification of optimal parameters and the exploration of potential optimization strategies for each product category, a critical consideration in a highly competitive industrial landscape.

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Manual analysis of parameters for each product family is not feasible due to its excessively time-consuming nature. As a result, operational decisions continue to heavily rely on the experience of operators, leading to significant variability in process performance. 

These intricate challenges will be (thoroughly) explored during the webinar, with a particular focus on practical solutions to overcome these hurdles and enhance operational efficiency while accommodating the diversity of products to be processed.

In response to the complex challenges, the proposed approach relies on cloud-based (online) monitoring and analysis solutions. These solutions facilitate the acquisition, consolidation, and analysis of extensive datasets, providing a comprehensive overview of the operational landscape of the rolling mill.

These cloud solutions not only ensure scalability but also facilitate “real-time” access to information, allowing operators to have up-to-date insights crucial for informed decision-making.

Next, our approach emphasizes the identification of relevant indicators through nuanced analysis that combines expertise in data science with a deep understanding of the operations of these rolling mills and their processes. By merging analytical methodologies with domain-specific knowledge, we aim to pinpoint key performance indicators that go beyond traditional measures, offering a more granular and insightful view of operational efficiency for each product family.

Through this holistic approach, we aspire to go beyond the limitations of conventional performance indicators and manual analyses.


In this presentation, the following topics will be covered : 

  • Introduction of the QUARTO cold rolling mill process
  • Project context
  • Objective
  • Approach 
  • Results
  • Conclusions and next steps

Practical info

10:45    Welcome to the BEMAS Live Learning Platform
11:00     Start of the Presentation
11:45     Conclusions & Q&A
12:00    End

About the speaker

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  • Free for employees of companies who are a member of BEMAS
  • Free for attendees of Asset Performance 2023 Conference and invitees of NLMK (ask your contact for a discount code)
  • € 35,- per person excl. VAT for non-members 

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Those who participated last year can also re-watch this webinar for free.

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