Advanced analytics is enabling firms to decrease equipment downtime and increase operational efficiency.
FREMONT, CA: Modern analytics solutions are constantly being deployed by firms to gain operational efficiency as well as productivity. The semiconductor industry has also understood the potential of analytics and is leveraging it for semiconductor manufacturing, sales, R&D as well as enhanced pricing capabilities. At present, the semiconductor industry is prepared for advanced analytics incorporation.
In the case of chip designing, the volume of data collection capability on the fabrication floor has undergone perennial expansion. The latest edge tools have various measuring instruments, and each one of them gathers over 300 sensor inputs. Thus, the overall information gathered, including metrics for processes, products, and machine state, will easily surpass terabytes of data. Thus, an advanced analytics solution will be highly effective in the case of various manufacturing dimensions, such as yield, operating costs, throughput, and equipment availability.
Analytics can also help in decreasing equipment downtime. The fab can support multivariate analysis to enhance condition-based monitoring, which is a maintenance mechanism involving examination of indicators to assess if equipment performance is declining. Such an analysis will also enable the fab to predict precisely when parts will fail. The above estimation will enable the fab to optimize the planned maintenance strategies, thereby reducing downtime as well as expenses on labor and parts.
Apart from reducing equipment failures, fab can utilize advanced analytics for more challenging purposes as well. For instance, they can integrate process-level and equipment data with metrology and inspection data to make more accurate predictions over yield degradation as well as yield failure. Thus, advanced analytics can assist in predicting process failure by tracking patterns in the data before building any model.
Semiconductor manufacturers are constantly craving for improved analytics capabilities to address manufacturing as well as equipment downtime issues.