Analysis of Key Performance Indicators for High-Pressure Die Casting Process in the Context of Industry 4.0
PACANA Andrzej, CZERWIŃSKA Karolina, Renata DWORNICKA
Abstract. The aim of the study was to create a model enabling the identification of key performance indicators (KPIs) for the die casting process in aluminum industry companies, as well as their implementation and visualization using Industry 4.0 tools. The model’s assumptions were based on the idea of smart manufacturing. The proposed indicators concerned the key stages of the die casting process. The model integrates indicators’ data from sensors and control systems, enabling real-time monitoring and data-driven decision-making. The presented KPI classification and evaluation procedure supports process optimization, improvement of energy efficiency, and the quality of aluminum alloy products. The implementation of digital KPI monitoring tools (visualization dashboards) increases resource efficiency, process stability, and supports sustainable manufacturing goals in the foundry industry. The model can be used by engineers, Industry 4.0 specialists, and management staff in the analysis and improvement of processes and data-driven decision-making.
Keywords
Process Optimization, Data Analysis, Process Monitoring, Smart Manufacturing, Quality Improvement, Real-Time Monitoring, Mechanical Engineering
Published online 1/25/2026, 9 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: PACANA Andrzej, CZERWIŃSKA Karolina, Renata DWORNICKA, Analysis of Key Performance Indicators for High-Pressure Die Casting Process in the Context of Industry 4.0, Materials Research Proceedings, Vol. 62, pp 228-236, 2026
DOI: https://doi.org/10.21741/9781644904015-30
The article was published as article 30 of the book Terotechnology XIV
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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