This inventor holds 1 USPTO granted patent. Top assignee: The Boeing Company. Active years: 2010.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2010
Title: Jason C Brandstetter: Innovator in Fleet Reliability
Introduction
Jason C Brandstetter is an accomplished inventor based in St. Louis, MO (US). He has made significant contributions to the field of fleet management, particularly in the aviation sector. His innovative approach focuses on enhancing fleet reliability through advanced predictive methods.
Latest Patents
Brandstetter holds a patent for a "System, method and program product for predicting fleet reliability and maintaining a fleet of vehicles." This invention is designed to maintain fleet performance, especially for aircraft. The system utilizes a maintenance database to extract part removal data, applying Weibull analysis to identify parts likely to fail within a specified time frame. The invention generates risk reports that highlight potential issues requiring immediate attention, ensuring that fleets are well-prepared for maintenance needs.
Career Highlights
Brandstetter is currently employed at The Boeing Company, where he continues to develop innovative solutions for fleet management. His work has been instrumental in improving the reliability and efficiency of aircraft operations. With a focus on data-driven decision-making, he has contributed to the advancement of maintenance practices in the aviation industry.
Collaborations
Throughout his career, Brandstetter has collaborated with notable colleagues, including Patrick J Langlet and Roberto E Altschul. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Jason C Brandstetter is a key figure in the field of fleet reliability, with a patent that showcases his innovative thinking and problem-solving skills. His contributions to The Boeing Company and the aviation industry highlight the importance of predictive maintenance in ensuring operational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
