Process optimization: Avoid fluctuations in the manufacturing process
Optimizing the production process for semiconductors is a decisive factor in increasing yield. By analyzing and optimizing process parameters and sequences, you can increase efficiency and yield. The process parameters at machine level include temperature, pressure, exposure and etching time. Data analysis and artificial intelligence can help you to improve processes and thus increase output.
Data analysis and continuous improvement
Analyzing production data and continuous improvement are key steps in increasing yield in the long term. With data analysis tools such as machine learning, for example, companies can identify patterns and trends and eliminate inefficient processes or quality problems. Artificial intelligence is a first-class helper here, as it recognizes possible deviations using a large data foundation. On this basis, you can implement targeted improvement measures to achieve predictive quality, i.e. predictable product quality.
Preventive maintenance and machine calibration for optimum handling of semiconductors
The condition and precision of the production systems also play a decisive role: For example, are the photolithography systems, CVD systems for chemical vapor deposition, etching systems, etc. in good condition? Timely maintenance, servicing and calibration of production systems are essential to avoid downtime and increase yield. Artificial intelligence is also becoming increasingly important here, as it precisely registers deviations of the parameters from the hysteresis window and thus makes predictive maintenance possible.
Training and further education of employees
Employees also play an important role in increasing productivity in semiconductor production. Regular training and further education can help deepen process understanding, identify optimization potential and find more effective solutions.
Semiconductor production requires cleanroom conditions
As even the smallest particles or impurities can impair the output, the semiconductors are produced in rooms of cleanroom class ISO 1 to ISO 5. It is essential to control the temperature, air quality, particle contamination and humidity, as well as a product portfolio suitable for the cleanroom. Effective cleanroom protocols, regular maintenance of ventilation and filtration systems and staff training in cleanroom behavior are required.
Quality of the raw materials
The quality of the starting material used, in particular the silicon wafers, is of crucial importance for the production yield. Contamination or defects can lead to faults and increased rejects. Quality control of the materials is therefore absolutely essential.
Conclusions
Increasing yield in semiconductor production requires a holistic approach that takes both technological and organizational aspects into account. By ensuring raw material quality, optimizing the production process, training personnel, preventive maintenance and data analysis, for example with artificial intelligence, you can maximize the yield of the functional chips obtained from a semiconductor and significantly increase your yield. A culture of continuous improvement is the key to long-term success.
