Company Filing History:
Years Active: 2023
Title: Pei Yu Lin: Innovator in Automatic Manufacturing Cost Estimation
Introduction
Pei Yu Lin is a notable inventor based in the United States, recognized for her contributions to the field of automatic manufacturing. She has developed innovative techniques that enhance the efficiency of manufacturing mechanical parts. Her work focuses on utilizing machine learning models to estimate manufacturing costs, which is crucial for optimizing production processes.
Latest Patents
Pei Yu Lin holds a patent titled "Two Tier Automatic Cost Estimation For Automatic Manufacture Of Spare Parts." This patent describes techniques for automatically manufacturing mechanical parts. The process begins with generating a first estimate of manufacturing cost for a mechanical part using a first machine learning model. If this estimate falls within an acceptable range, a second estimate is generated using a second machine learning model. The expected cost error in this second estimate is then determined, and if it meets predetermined acceptable criteria, the automatic manufacturing of the part is facilitated.
Career Highlights
Throughout her career, Pei Yu Lin has focused on integrating advanced technologies into manufacturing processes. Her innovative approach has the potential to significantly reduce costs and improve efficiency in the production of spare parts. Despite having no patents attributed to her prior to her recent work, her contributions are noteworthy in the realm of automatic manufacturing.
Collaborations
Pei Yu Lin has collaborated with Joseph F Rice, who has played a significant role in her research and development efforts. Their partnership has led to advancements in the techniques used for cost estimation in manufacturing.
Conclusion
Pei Yu Lin is an influential figure in the field of automatic manufacturing, with her innovative patent showcasing the application of machine learning in cost estimation. Her work has the potential to transform manufacturing processes and improve efficiency in the industry.