La Mirada, CA, United States of America

Marrisa Pang


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 57(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Marrisa Pang

Introduction

Marrisa Pang is a notable inventor based in La Mirada, California. He has made significant contributions to the field of data management systems, particularly in the context of sheet metal part production. His innovative approach has led to the development of a unique patent that streamlines the production process.

Latest Patents

Marrisa Pang holds a patent for a "Stand Alone Data Management System for Facilitating Sheet Metal Part Production." This invention provides a method for managing data files related to sheet metal part production on a computer network. The method includes creating an identifier for a sheet metal part, linking it with all relevant data files, and selecting multiple linked data files based on predetermined criteria. This allows for simultaneous operations on the selected files, enhancing efficiency in production. The process also involves obtaining a sheet metal part name, determining a virtual folder hierarchy, and storing all identifiers in a single directory. Additionally, the method includes connecting to a server that stores the data files, ensuring seamless access and management.

Career Highlights

Marrisa Pang is currently employed at Amada Company, Limited, where he continues to innovate and contribute to advancements in manufacturing technology. His work has been instrumental in improving data management practices within the industry.

Collaborations

Marrisa collaborates with talented individuals such as Kensuke Hazama and Nishio Hisashi, who share his passion for innovation and excellence in engineering.

Conclusion

Marrisa Pang's contributions to data management in sheet metal production exemplify the impact of innovative thinking in engineering. His patent not only enhances production efficiency but also showcases the importance of effective data management in modern manufacturing.

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