Khwansiri Ninpan
Technical Solution Lead in the Optimisation Domain
Khwansiri is a versatile professional with a dual degree in Artificial Intelligence and Medical Microbiology. Her experience in healthcare has given her a profound understanding of research processes and the significance of data-driven insights.
With over 4 years of experience as a data scientist at Assystem, Khwansiri has specialised in developing algorithms to optimise project planning under complex constraints. In 2023, she transitioned into a technical solutions lead role in the optimisation domain, leveraging her diverse skill set to solve complex problems, drive innovation, and contribute to research and development initiatives.
October 2024
Abstract
The Resource Constrained Project Scheduling Problem (RCPSP) is a prominent combinatorial optimization problem in academia. It involves scheduling project activities while considering constraints arising from logical relationships between tasks, resource capacity limitations, and other project specific factors.
In this paper, we propose a modular heuristic method for efficient outage planning and execution within Nuclear Power Plants (NPPs). The project contains more than 24,000 tasks with specific industrial-oriented constraints such as the notion of prioritization, the event of pausing tasks in progress, handling of resources incompatibility, and adjusting dynamic units of resources based on their availability. The execution speed of the entire solution has been extensively revised to reach an average of 10 to 15 minutes on a standard computer.
This enables project managers to promptly evaluate various scenarios with minimal data adjustments, facilitating informed decision-making. The solutions effectiveness has been validated by domain experts, demonstrating its potential for real-world application.
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