Vahid Khiabani, Middle Tennessee State University, USA

A temperature tracking monitoring system is fundamentally important in optimizing the photographic process used during manufacturing operations, particularly in fields such as semiconductor production and precision optics. This system is meticulously engineered to continuously monitor, record, and analyze temperature fluctuations, which are critical to achieving the desired quality and consistency in the photographic results. To facilitate effective temperature management, a Manufacturing Execution System (MES) is extensively implemented alongside the tracking system. The MES serves as a comprehensive digital platform that captures and processes monitoring data in real-time. It enables operators to assess temperature profiles and receive alerts about any deviations from predetermined thresholds, ensuring that the manufacturing conditions remain within optimal parameters. One of the primary challenges encountered during the photographic process is related to location errors that can occur when placing the wafer. Such misalignments can lead to significant disruptions in oven processes, resulting in subpar product quality and increased waste. These errors might arise from a variety of factors, including equipment calibration issues, operator misjudgment, or even environmental fluctuations. To combat these challenges, we propose an innovative analysis method designed to systematically identify and reduce process errors associated with wafer placement. This method involves a thorough examination of historical data, coupled with advanced statistical analysis techniques, to pinpoint recurring issues. By implementing corrective measures based on these insights, we aim to enhance the precision of wafer positioning, thereby mitigating the risk of errors and improving the overall efficiency of the photographic process. Our approach not only seeks to ensure higher quality outputs but also strives to optimize resource utilization and reduce production costs in the long term.

APA:
Khiabani, V. (2023). In-Depth Analysis of Temperature Tracking and Monitoring Processes: Exploring Methods, Tools, and Best Practices. Journal of Science and Engineering Management, 4(2), 23-44. https://doi.org/10.33832/jsem.2023.4.2.03