Quality System: Quality Characteristic Monitoring System

Real-time data collection and trend graph display! Achieved improvement in equipment utilization rate.

The "Quality Characteristic Monitoring System" is a solution that creates trend graphs from data such as equipment operating status and production results, supporting data analysis tasks. By detecting upper and lower limit exceedances and data variations, it is possible to provide alarm notifications through the activation of a patrol light or email alerts. As a result of its implementation, the manual tasks of data extraction, editing, and analysis have been automated, reducing the burden on workers. [Effects of Implementation] - By visualizing product quality, stable quality can be maintained, resulting in a reduced percentage of defective products. - By anticipating equipment failures and performing maintenance or replacements before breakdowns, equipment operating rates have improved. - The automation of data extraction, editing, and analysis tasks has reduced the burden on workers. *For more details, please refer to the PDF document or feel free to contact us.

basic information

【Background of System Implementation】 ■ Due to the inability to grasp data such as equipment operating status and production results in real-time, there were delays in responding to equipment failures and a decline in product quality, which affected production. ■ In quality control tasks and analysis of prototypes, operators were manually extracting, editing, and analyzing the data that was being stored daily, resulting in time-consuming analysis and placing a significant burden on the operators. 【Purpose of System Implementation】 ■ Improvement of Yield - Detect signs of yield decline and equipment failures, enabling proactive measures. ■ Visualization of Manufacturing Status - Collect equipment operating status and production results at regular intervals to visualize the manufacturing situation. *For more details, please refer to the PDF document or feel free to contact us.