Mercer Island, WA, United States of America

Warren Rees Furbeck

This inventor holds 2 USPTO granted patents. Top assignee: The Boeing Company. Active years: 2015-2017.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2015-2017

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2 patents (USPTO):Explore Patents

Title: Innovations by Warren Rees Furbeck

Introduction

Warren Rees Furbeck is an accomplished inventor based in Mercer Island, WA (US). He has made significant contributions to the field of production modeling, holding a total of 2 patents. His work focuses on improving processes for product production through innovative methods.

Latest Patents

Furbeck's latest patents include a "System for modeling production of a product." This method involves receiving process-related information that describes a logical sequence of tasks necessary for producing internal products. The method emphasizes the importance of task precedence relationships, where the output of one task serves as an input for another. Additionally, it separates tasks into closure and precursor portions, allowing for efficient scheduling and execution. Another notable patent is "Alpha-chain constraints for process planning," which also revolves around constructing a process schedule based on task sequences and input requirements. This method similarly categorizes tasks into closure and precursor portions to optimize production efficiency.

Career Highlights

Furbeck is currently employed at The Boeing Company, where he applies his expertise in production modeling. His innovative approaches have contributed to enhancing operational efficiency within the aerospace industry.

Collaborations

Some of his notable coworkers include Thomas Edward Sherer and Scott D Button, who have collaborated with him on various projects at Boeing.

Conclusion

Warren Rees Furbeck's contributions to production modeling through his patents demonstrate his commitment to innovation in the field. His work continues to influence the efficiency of production processes in the aerospace sector.

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