Wappingers Falls, NY, United States of America

Vincent J Giancaspro


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):

Title: The Innovative Contributions of Vincent J Giancaspro

Introduction: Vincent J Giancaspro is an accomplished inventor based in Wappingers Falls, NY, recognized for his significant contributions to quality control methodologies. With a patent under his name, Giancaspro's work has profound implications in data-driven environments, enhancing the efficiency and reliability of supplier quality management.

Latest Patents: Giancaspro holds a patent titled "Automated data-driven closed-loop-feedback method for adaptive and comparative quality control in a discrete data aggregation environment." This innovative method revolves around receiving supplier quality data, which consists of discrete quality data associated with components supplied to a company or services provided over a specific measurement period. The patented method entails aggregating quality data from multiple suppliers, establishing a quality benchmark, and setting alarm levels based on this benchmark. Furthermore, it evaluates supplier quality levels to ensure that operations remain within defined standards.

Career Highlights: Vincent J Giancaspro is associated with International Business Machines Corporation (IBM), where he utilizes his expertise to drive quality improvement initiatives. His role at IBM has allowed him to apply his innovative mindset to solve complex issues in quality control, benefiting both the company and its clients.

Collaborations: Throughout his career, Giancaspro has worked alongside esteemed colleagues such as Robert A DiMarco and Michael J Whitney. Their collaborative efforts reflect a diverse range of skills and knowledge, contributing to the advancement of innovative solutions within the corporate environment.

Conclusion: Vincent J Giancaspro exemplifies the power of innovation in addressing the challenges in quality control through his patent and collaboration within IBM. His work not only underscores the importance of adaptive methodologies in data management but also reflects the collaborative spirit of inventors dedicated to improving industry standards.

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