AI-based Manufacturing Data Analysis
Solution Implementation
- Providing optimized models tailored to objectives through pre-learning with external data
- Integrated management of manufacturing / distribution / logistics data and customized AI analysis and prediction tailored to objectives
- Offering various visualization graph functions through customization
Atlan Smart AI PlatForm(ASAP) architecture diagram
Characteristics
- AI-based demand forecasting using time-series data generated within manufacturing, and sentiment analysis of text data such as reviews
- Predictive diagnosis of equipment failure by analyzing the motor or vibration of manufacturing equipment
- Detection of product defects using vision inspection systems, integrated with equipment for defect detection
- Providing optimized models tailored to objectives through pre-learning with external data
- Integrated management of manufacturing-related data and customized AI analysis and prediction tailored to objectives
- Offering various visualization graph functions through customization
Applicable processes and fields where this can be applied
- Manufacturing companies where time-series data is generated within the manufacturing process and demand prediction or analysis is required
- Manufacturing sites requiring equipment condition assessment through motor vibration detection and power usage measurement
- Manufacturing sites where there is a risk of industrial safety due to harmful gases or specific elements generated during specific processes
- Manufacturing processes where product defects are visually confirmed during production