Equipping steel fabrication floor planning with interactive visualization for legacy systems
Yaseen, Umer Abdullah (2025-06-19)
U. A. Yaseen
19.06.2025
© 2025, Umer Abdullah Yaseen. Tämä Kohde on tekijänoikeuden ja/tai lähioikeuksien suojaama. Voit käyttää Kohdetta käyttöösi sovellettavan tekijänoikeutta ja lähioikeuksia koskevan lainsäädännön sallimilla tavoilla. Muunlaista käyttöä varten tarvitset oikeudenhaltijoiden luvan.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202506194837
https://urn.fi/URN:NBN:fi:oulu-202506194837
Tiivistelmä
Modern steel fabrication facilities often operate with legacy enterprise database systems that were not designed to support interactive, spatial decision-making on the factory floor. As a result, production planning, resource allocation, and layout optimization are typically managed through static reports or manual methods without real-time feedback or spatial context.
This thesis was motivated by the growing need for operational visibility and layout flexibility in environments where cloud-based business intelligence tools are either unsuitable due to security concerns or lack the domain-specific interactivity required on the smart manufacturing system. Management and support staff increasingly require tools that can deliver intuitive, layout-aware interfaces while still operating within the constraints of closed ERP environments.
A key challenge is bridging the gap between legacy systems and modern visualization techniques. The solution must avoid external dependencies, minimize system load, and work without major changes to existing infrastructure. It must also be usable by non-technical staff while still providing full control and actionable insights.
To address these needs, this study explored the development of a browser-based visualization approach, specifically for factory layout planning and workload awareness. The solution prioritizes interactive layout editing, seamless data access, and offline operability, while remaining closely integrated with existing internal systems. Emphasis was placed on enabling drag-and-drop control, contextual performance insights, and intuitive user experiences, all delivered in a secure, browser-accessible form.
A user study with six participants from various roles tested the system’s impact. Results showed high task completion, strong usability scores, and positive feedback from both technical and non-technical users. These findings suggest that factory-specific visualization tools can improve decision-making, reduce coordination issues, and modernize operations in legacy industrial settings.
This thesis was motivated by the growing need for operational visibility and layout flexibility in environments where cloud-based business intelligence tools are either unsuitable due to security concerns or lack the domain-specific interactivity required on the smart manufacturing system. Management and support staff increasingly require tools that can deliver intuitive, layout-aware interfaces while still operating within the constraints of closed ERP environments.
A key challenge is bridging the gap between legacy systems and modern visualization techniques. The solution must avoid external dependencies, minimize system load, and work without major changes to existing infrastructure. It must also be usable by non-technical staff while still providing full control and actionable insights.
To address these needs, this study explored the development of a browser-based visualization approach, specifically for factory layout planning and workload awareness. The solution prioritizes interactive layout editing, seamless data access, and offline operability, while remaining closely integrated with existing internal systems. Emphasis was placed on enabling drag-and-drop control, contextual performance insights, and intuitive user experiences, all delivered in a secure, browser-accessible form.
A user study with six participants from various roles tested the system’s impact. Results showed high task completion, strong usability scores, and positive feedback from both technical and non-technical users. These findings suggest that factory-specific visualization tools can improve decision-making, reduce coordination issues, and modernize operations in legacy industrial settings.
Kokoelmat
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