A Modular Heuristic-Based Solution for Large-Scale Outage Management in Nuclear Power Plants

\nThe 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 projectspecific 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.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-15
DOI
https://doi.org/10.1051/epjconf/202430217007/pdf
Primary Topic
Resource-Constrained Project Scheduling
Type
article
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article

A Modular Heuristic-Based Solution for Large-Scale Outage Management in Nuclear Power Plants

Springer Link (Chiba Institute of Technology)
Resource-Constrained Project Scheduling
article

A Modular Heuristic-Based Solution for Large-Scale Outage Management in Nuclear Power Plants

article en

Abstract

\nThe 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 projectspecific 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.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 58%
Resource-Constrained Project Scheduling
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A Modular Heuristic-Based Solution for Large-Scale Outage Management in Nuclear Power Plants · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS