Foster City, CA, United States of America

Eugene D Davis


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 103(Granted Patents)


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Eugene D. Davis

Introduction

Eugene D. Davis is a notable inventor based in Foster City, CA (US). He has made significant contributions to the field of scheduling systems through his innovative patent. His work focuses on optimizing complex activities, particularly in the realm of integrated capacity and inventory planning.

Latest Patents

Eugene D. Davis holds a patent titled "Iterative repair optimization with particular application to scheduling for integrated capacity and inventory planning." This patent describes a method for obtaining a schedule for complex activities using a constraint-based iterative repair approach. The system iteratively repairs a predetermined initial schedule, addressing only the portions that produce constraint violations. This targeted approach minimizes schedule perturbations, thereby enhancing the dynamic performance of the scheduling system and ensuring smooth operations. The invention allows for simultaneous evaluation of all constraints, including consumable and reusable resource constraints, temporal constraints, and milestone constraints. This results in a near-optimal solution that is both quick and adaptable to changes.

Career Highlights

Eugene D. Davis has worked at Peoplesoft, Inc., where he has applied his expertise in scheduling systems. His innovative approach has set new standards in the industry, particularly in applications requiring frequent and rapid rescheduling.

Collaborations

Eugene has collaborated with notable colleagues such as Monte Zweben and Michael J. Deale, contributing to advancements in scheduling technologies.

Conclusion

Eugene D. Davis is a pioneering inventor whose work in scheduling optimization has made a lasting impact on the field. His innovative patent demonstrates the importance of targeted solutions in complex scheduling scenarios.

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