Quan Yuan

Title: Innovations by Quan Yuan in Resource-Constrained Project Scheduling

Introduction

Quan Yuan is an accomplished inventor based in Guangzhou, China. He has made significant contributions to the field of project management through his innovative methods. His work focuses on optimizing resource-constrained project scheduling, which is crucial for enhancing efficiency in large-scale projects.

Latest Patents

Quan Yuan holds a patent for a method titled "Method for scheduling resource-constrained project by invasive weed optimization." This innovative approach establishes a resource-constrained project scheduling model. It converts real-world project scheduling issues into a mathematical model for combination and optimization. The primary goal of this method is to minimize the total duration of projects while adhering to immediate predecessor and successor constraints of project activities. Additionally, it considers various renewable resource constraints. The invasive weed optimization (IWO) technique is employed to find solutions for large-scale project scheduling. A right-shift decoding strategy is designed to rectify ineligible solutions during the generation of weed seeds, ensuring compliance with project constraints and improving algorithm efficiency. This resource-constrained project scheduling scheme effectively shortens the total construction period of large-scale projects.

Career Highlights

Quan Yuan is currently associated with the Guangzhou Metro Design & Research Institute Co. Ltd. His role in this organization allows him to apply his innovative methods to real-world projects, contributing to the advancement of project management practices.

Collaborations

He has collaborated with notable colleagues such as Wenqu Zeng and Haiou Shi, who share his commitment to enhancing project scheduling methodologies.

Conclusion

Quan Yuan's innovative contributions to resource-constrained project scheduling demonstrate his expertise and commitment to improving project management efficiency. His patent reflects a significant advancement in the field, showcasing the potential for optimizing large-scale projects.