This inventor holds 1 USPTO granted patent. Top assignee: Vms Solutions Co.. Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Kyungsik Lee in Supply Chain Management
Introduction
Kyungsik Lee is a notable inventor based in Seongnam-si, South Korea. He has made significant contributions to the field of supply chain management through his innovative patent. His work focuses on improving the efficiency of lead time predictions for parts, which is crucial for manufacturing and logistics.
Latest Patents
Kyungsik Lee holds a patent titled "Method for generating prediction model for supply lead time of parts." This patent outlines a comprehensive method for generating a lead time prediction model. The process includes receiving input data from a user, identifying the final part corresponding to the input data, and classifying the components into in-house production parts and ordered parts. The model optimizes lead time predictions based on various cost factors, enhancing decision-making in supply chain operations. He has 1 patent to his name.
Career Highlights
Kyungsik Lee is currently employed at VMS Solutions Co., Ltd., where he applies his expertise in supply chain management. His innovative approach has positioned him as a valuable asset to the company. His work not only contributes to the efficiency of operations but also supports the overall growth of the organization.
Collaborations
Kyungsik Lee collaborates with talented professionals such as Seock Kyu Yoo and Cherl Hong Park. Their combined efforts in research and development foster a creative environment that drives innovation within their projects.
Conclusion
Kyungsik Lee's contributions to supply chain management through his patent demonstrate his commitment to innovation and efficiency. His work continues to influence the industry positively, showcasing the importance of predictive modeling in operational success.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile