Manufacturing Analysis Solution to Strengthen Competitiveness of Manufacturing Company
Big Data
Preparing solution video
THiRA Analytics
THiRA-UTECH THiRA Analytics solutions enable early detection of abnormalities and a stable operating environment for improved quality and increased productivity.
* Patented algorithm including data normalizing (representative value calculating device and method)
Need to introduce solution
– Existing abnormality detection method is difficult to grasp problem by many variables
– Need to secure price competitiveness by improving yields due to homogenization of products by technology equalization
– Big data analysis is the biggest factor in future smart factory availability and its impact on corporate performance
– 49% of manufacturing companies are piloting big data analysis, and 30% of manufacturing companies are willing to invest in the big data and IoT fields (Source: SCM World-MESA, International survey)
Expected Effect of Solution Introduction
Equipment
– Reduced stabilization time for equipment PM / BM and new setup
Process
– Accurate diagnosis of process abnormalities, systemization of handwriting verification system, and management efficiency
Yield / quality
– Improve yield and quality by promptly identifying causes when problems occur
Case study of implementation
Case 1
A case study of Improving Quality and Productivity through Manufacturing Big Data Analysis
Target Customer
Domestic Semiconductor FAB
Application Solution
THiRA Analytics
Coverage
Memory, Non-Memory (System IC)
✓ Aiming early detection and stabilization of process abnormalities
✓ Applied in semiconductor etching, diffusion and test process
✓ Analyze facility operating conditions, wafer testing and quality data
The Challenge
- Existing abnormality detection method is difficult to grasp problem by many variables
- Need to secure price competitiveness by improving yields due to homogenization of products by technology equalization
- Big data analysis is the biggest factor in future smart factory availability and its impact on corporate performance
- 49% of manufacturing companies are piloting big data analysis, and 30% of manufacturing companies are willing to invest in the big data and IoT fields
(Source: SCM World-MESA, International survey)
The Solution
- Manufacturing-specific preprocessing function to improve data quality (missing, deterioration, alternation, etc.)
- Simultaneous analysis of multiple equipment / quality parameters to improve analysis accuracy
- Real time process / facility change and abnormality detection
- Identify the impact of quality / yield by process
- Search for the process / facility that causes the defect
- Prediction of quality defects
The Benefits
- Reduced stabilization time during installation PM / BM and setup
- Accurate diagnosis of process abnormalities, systemization of handwriting verification system and efficient management
- Improve yield and quality by promptly identifying causes when problems occur
Reference
