Chroma i4.0

Manufacturing Line Balancing Solution

Image recognition and AI data collection can, in real time, compare the difference between actual working hours and standard working hours, identify bottlenecks, and trace pain points. For our customers, we can execute SOP compliance by ensuring completion of all steps, create immediate warning systems for mistakes, and provide quality monitoring.

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The Problems Customers Faced

1. The operation of human production line is opaque, and it is impossible to instantly identify bottlenecks.
2. It is difficult to review and formulate improvement strategies in real time. Review processes are often too late in fixing the issue.
3. The acquisition of data by a person is time consuming and biased.

How we helped

1. Transparent Production Information: real time access to comprehensive data over the production line
2. Production volume improvement: identifying and eliminating bottlenecks has allowed for increased UPH
3. Problem Analysis: objective data and a powerful AI algorithm can help find causes for low production output
4. Cost Control: we can provide visualized and accurate models of labor costs and their corresponding value

Customer Benefits

1. Comprehensive data analysis for production yield and quality
2. Clear report on bottlenecks and pain point
3. Optimized scheduling by incorporating OEE data and human performance
4. Reduced solution launch time

Figure 1. Finding out the bottleneck through data and AI, the system will calculate line balancing status on the production line.

Figure 2. To improve production traceability, the AI interface will monitor the status of the production line, record the problems, and covert information into tangible data.

Figure 3. The AI solution improved 5% of the UPH, Unit per Hour, for customer.

Solution Profile

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