Reform of corporate organization to promote transformation to smart
Digitization of information
More sophisticated decision making
2nd category
Business process transformation
Data acquisition
Construction and sharing of databases
Information visualization and browsing
From anomaly detection Prevention of accidents
O&M improvement by predictive detection
Automation of operation and inspection
Features
BI is a tool for “looking back,” while Sightline EDM is a tool for making decisions “right now” on the shop floor. Furthermore, by feeding insights gained from BI back to the production floor in real time, you can evolve the production process itself.
Details
1.Provides visibility into processes (workflows) and operations (production processes to factory operating status) -Identifies bottlenecks -Improves production efficiency and quality
2.Enables real-time detection of equipment abnormalities and early signs of failure, along with data analysis -Facilitates rapid investigations such as correlation analysis and root cause analysis (RCA) -Millisecond-level data analysis -Improve equipment utilization rates
3.Predictive capabilities using machine learning enable identification of potential issues before they occur
4.Eliminate interface barriers (protocol gaps) between devices and subsystems within factory systems (manufacturing/equipment systems) through OPC-UA and MQTT support (ensuring connectivity)
Achievements and examples
1.Early Detection of Quality Abnormalities
[Industry] Material Manufacturer (Medical Catheter Production)
[Issues] Products failing quality standards are discovered during inspection, leading to lot discards, reprocessing, and associated rework and disposal costs.
[Solution] SIGHTLINE EDM collects inspection data and production equipment operation data in real time, performs trend analysis, and detects early signs of quality deviations. By analyzing inspection data alongside production equipment operation data and manufacturing condition data, it identifies factors degrading manufacturing quality early and supports optimization of operational conditions.
2.Visualizing and Documenting Expert Know-How
[Industry] Automotive Manufacturer (Bodywork and Painting)
[Issues] The paint mixture ratio was determined by the skilled judgment of craftsmen based on temperature and humidity, and the operation was limited to only experienced workers.
[Solution] By collecting data on airborne dust levels in addition to temperature and humidity, we successfully standardized not only the paint mixture ratio but also the idle time of the painting line.
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