Algorithme d'aides \`a la d\'ecision pour Optimiser l'Ordonnancement des t\^aches de maintenance en temps-r\'eel

TL;DR

This paper introduces a decision-support algorithm designed to optimize real-time maintenance task scheduling by dynamically allocating resources, minimizing delays, and ensuring minimum operational availability.

Contribution

It presents a novel real-time scheduling algorithm specifically tailored for maintenance tasks, addressing dynamic task insertion and resource management.

Findings

Improved scheduling efficiency in maintenance operations

Reduced delays in task execution

Enhanced resource utilization

Abstract

The approach presented in this article is a contribution to research relating to the optimization of the scheduling of the spots of maintenance. This work answers the following objectives: Decision in time-reality (planning and scheduling), Allowance/assignment of resources, To ensure a minimum availability required, To minimize times delay while inserting the dynamic tasks "corrective maintenance"