Real-Time Efficiency Monitoring in Automated Assembly Lines
Serditova, Irina (2024)
Serditova, Irina
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024122338080
https://urn.fi/URN:NBN:fi:amk-2024122338080
Tiivistelmä
The fourth industrial revolution has brought unprecedented visibility into production operations. Nowadays, the convergence of IT and OT facilitates data acquisition across all business levels. Manufacturing companies extract value from data both at the boardroom and shop floor levels.
This thesis is part of the Industrial Management Degree Program, encompassing disciplines in manufacturing, digitalization, and production planning. Aligned with these areas, the project aimed to develop dashboards that visualize data acquired from the assembly process. The implementation phase covers multiple use cases, combining production challenges with the practical implementation of visual panels. Grafana Open-Source Software was used as a tool for data visualization, with Microsoft SQL Server as a data source.
As a result, sets of dashboards for multiple high-speed automated assembly lines were developed. They enabled real-time monitoring of process performance and factors affecting it, which turned out also to be helpful for identifying bottlenecks in the process. Dashboards were integrated into production operations, and a feedback loop was established to support continuous improvement.
This thesis is part of the Industrial Management Degree Program, encompassing disciplines in manufacturing, digitalization, and production planning. Aligned with these areas, the project aimed to develop dashboards that visualize data acquired from the assembly process. The implementation phase covers multiple use cases, combining production challenges with the practical implementation of visual panels. Grafana Open-Source Software was used as a tool for data visualization, with Microsoft SQL Server as a data source.
As a result, sets of dashboards for multiple high-speed automated assembly lines were developed. They enabled real-time monitoring of process performance and factors affecting it, which turned out also to be helpful for identifying bottlenecks in the process. Dashboards were integrated into production operations, and a feedback loop was established to support continuous improvement.