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Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
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Adoption of knowledge-graph best development practices for scalable and optimized manufacturing processes.
M S Jawad1,2, Chitra Dhawale1,2, Azizul Azhar Bin Ramli1,2
1Fsktm Faculty, UTHM University, Malaysia.
Methodsx
|March 28, 2023
Summary
This study explores developing industrial enterprise knowledge graphs for smart manufacturing. It details best practices for data analytics, scalability, and digital transformation to enhance manufacturing performance and sustainability.
Area of Science:
- Data Science
- Manufacturing Engineering
- Knowledge Management
Background:
- Data analytics is vital for business sustainability and smart manufacturing.
- Knowledge graphs provide context for business questions at scale.
- Effective data extraction aligns with strategic enterprise goals.
Purpose of the Study:
- To review and investigate best practices for industrial enterprise knowledge graph development.
- To support smart manufacturing through enhanced data analytics and scalable architectures.
- To enable successful digital transformation for intelligent business processes.
Main Methods:
- Review of development practices for industrial enterprise knowledge graphs.
- Investigation of knowledge graph applications in smart manufacturing.
- Analysis of data collection, quality, and analytics integration.
Main Results:
- Identified key aspects for knowledge graph development: intelligent business processes, multi-source data collection, competitive advantage ontology, data quality, enhanced analytics, human-friendly interaction, and scalable architectures.
- Demonstrated the transformation of enterprise knowledge graphs into data fabric for scalable smart manufacturing.
- Highlighted the role of knowledge graphs in decision-making and operational efficiency.
Conclusions:
- Industrial enterprise knowledge graphs are crucial for smart manufacturing success.
- Adoption of these practices facilitates digital transformation and enhances manufacturing performance.
- Knowledge graphs provide a scalable foundation for future manufacturing innovations.
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