dc.description.abstract | The semiconductor industry provides efficient electronic components and systems, significantly enhancing the performance of modern technological products and the convenience of everyday life, such as mobile phones and home appliances. In recent years, the continued growth in the application of artificial intelligence and cloud technology in data centers, along with the development of electric vehicles, has driven the increasing demand for various types of chips, including AI chips, sensors, and memory.
Semiconductors are also a key industry driving Taiwan′s economic growth. To maintain its competitiveness, continuous improvement and refinement are necessary in the existing production models, which emphasize flexibility, speed, customized services, and low cost, leveraging their inherent advantages.
This study applies the framework of lean operations in operations management to reduce costs by minimizing the frequency and number of transaction processing. By collecting relevant literature on health indicators and utilizing the Mahalanobis-Taguchi system to solve the module, it investigates the characteristics of AVI operations and establishes a tool for managing the probability of occurrence of heavy rework during the production process under different machine conditions. By establishing health indicators for monitoring during production, abnormal conditions can be identified on the production line, enabling timely intervention by engineers to reduce rework waste and improve the current cost of AVI operations.
The study found that by setting health indicator rules in the manufacturing execution system′s hold logic, relevant units are notified for processing when abnormalities are detected. This reduces the number of non-conforming units and the burden of rework operations during final inspections. | en_US |