This inventor holds 1 USPTO granted patent. Top assignee: Industrial Technology Research Institute. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Meng-Sung Wu in Scheduling Systems
Introduction
Meng-Sung Wu is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of scheduling systems through his innovative approach utilizing knowledge graphs. His work is recognized for its potential to enhance production efficiency in various industries.
Latest Patents
Meng-Sung Wu holds a patent for a "Scheduling system and method using a knowledge graph." This patent describes a sophisticated scheduling method that involves several steps performed by a processor. The process begins with obtaining an initial scheduling solution of the production system. It then converts this solution into triples to form a knowledge graph, where each triple includes two entities and a relationship pertaining to the production system. The two entities represent two production resources. The method further involves embedding these triples into a vector space to generate embedded vectors using a knowledge graph embedding technique. Subsequently, it generates combinations of these embedded vectors and computes the distance of each combination. Finally, a scheduling algorithm is performed to produce a target scheduling solution based on the embedded vector combinations, providing reference information when generating a schedule for a station.
Career Highlights
Meng-Sung Wu is affiliated with the Industrial Technology Research Institute, where he applies his expertise in developing advanced scheduling systems. His work at this institute has positioned him as a key figure in the research and development of innovative technologies that leverage knowledge graphs for improved scheduling solutions.
Conclusion
Meng-Sung Wu's contributions to scheduling systems through his patent demonstrate the intersection of technology and efficiency in production environments. His innovative methods have the potential to transform how scheduling is approached in various industries.
