Dynamic Rescheduling in the Context of Distributed Maintenance - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Dynamic Rescheduling in the Context of Distributed Maintenance

Réordonnancement Dynamique dans le Contexte de la Maintenance Distribuée

Résumé

Economic growth and global competition are pushing manufacturing companies to have several production sites, often relatively close to each other. We are interested in the maintenance management of geographically distributed production sites. This paper deals with the problem of unexpected failures that usually disrupt maintenance operations. The objective is to manage a fleet of homogeneous vehicles in charge of performing preventive and corrective maintenance operations at several production sites. The major difficulty lies in the number of sites to be considered, which makes the optimisation time exponential if the classical methods of the literature are used. Nevertheless, some studies allow to obtain an expected scheduling of maintenance operations considering the uncertain aspect of failures. The novelty of this paper is the development of an approach and an algorithm allowing to quickly and simply update the order of maintenance operations in case of unexpected events on line. Through an industrial case study in oil & gas field, we determine the optimal framework based on heuristics in which to modify the expected vehicle scheduling. The results show that with the appropriate parameters, simple rules can handle unexpected failures in a cost-effective way.
Fichier principal
Vignette du fichier
20-02-2023_ICCAD'23_dmr_zsa_mdm.pdf (683.39 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04177038 , version 1 (03-08-2023)

Identifiants

Citer

Rony Arsène Djeunang Mezafack, Maria Di Mascolo, Zineb Simeu-Abazi. Dynamic Rescheduling in the Context of Distributed Maintenance. 2023 International Conference on Control, Automation and Diagnosis (ICCAD), May 2023, Rome, Italy. pp.1-6, ⟨10.1109/ICCAD57653.2023.10152406⟩. ⟨hal-04177038⟩

Collections

UGA CNRS G-SCOP
16 Consultations
22 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More