SMART AND TARGETED MAINTENANCE OF SPARE PARTS OF LARGE GAS TURBINES
- Shorter time to market of the business solution through rapid application development
- Efficient identification and management of spare parts, resulting in higher productivity and yearly time savings of up to 1,500 hours in the first year already
- Increased business user and customer satisfaction
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"Siemens Energy significantly reduces manual effort for spare parts management of large gas turbines with metaphactory and Amazon Neptune"
OTHER RESOURCES
- AWS Marketplace lists metaphactory as first graph data management solution and references joint success story at Siemens Energy »
- AWS Marketplace Case Study "Siemens Energy Accelerates Application Development with metaphactory Knowledge Graph" »
SMART MANUFACTURING PLANNING AND SMART MANUFACTURING EXECUTION
- Manufacturing Knowledge Graph to capture heterogeneous data sources and expert knowledge
- AI-based knowledge graph application to automate the allocation of suitable production equipment
- Reduced number of plans human manufacturing planners need to review from approx. 1,400 to just 40
- Feasible and affordable realization of low-volume orders
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"Smart Manufacturing at Siemens with metaphactory Knowledge Graph Platform"
Aiming to support engineers in developing and introducing new materials for production, Bosch is building a knowledge graph that exposes material science knowledge and supplies high-quality answers about existing materials in a timely manner.
In a recent paper presented at the ISWC 2019 Industry Track, Bosch describes how the knowledge graph integrates information stored across multiple sources, and how metaphactory is used to satisfy complex query needs through a user-friendly interface for standard keyword search and semantic-based faceted search.
Read paper here »
Intelligent Engineering & Manufacturing
Leveraging semantic technologies and the metaphactory platform, the Industrial Knowledge Graph has become an integral element in Siemens' strategy towards intelligent engineering and manufacturing. It powers various business use cases, including gas turbine maintenance, building automation, risk management, factory monitoring, and internal R&D management.
To learn more about Siemens's Industrial Knowledge Graph, have a look at the following material:
