A case study of an Intelligent Manufacturing Control based on multi-agents' system to deal with batching and sequencing on rework context - Université de Lorraine Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

A case study of an Intelligent Manufacturing Control based on multi-agents' system to deal with batching and sequencing on rework context

Résumé

Nowadays complex control systems are rising and especially hybrid control architectures which are developed to face the manufacturing control challenges that occur with the last industrial revolution and the emerging of industry 4.0. This work presents an application, on a testing platform, of a scheduling algorithm, with multi-criteria objectives, developed for Acta-Mobilier company suffering from high rework rate. This algorithm will inscribe itself in a hybrid control system based on smart entities. The main objective is to validate the contribution of the proposed algorithm in a disturbed environment. The platform, implemented with a multi-agent's system, allows to measure the reliability of the proposed algorithm used on a complex system in the particular case of high rework rate.
Fichier principal
Vignette du fichier
Sohoma17-HAL.pdf (442.15 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01615343 , version 1 (12-10-2017)

Identifiants

  • HAL Id : hal-01615343 , version 1

Citer

Emmanuel Zimmermann, Hind El Haouzi, Philippe Thomas, Rémi Pannequin, Melanie Noyel, et al.. A case study of an Intelligent Manufacturing Control based on multi-agents' system to deal with batching and sequencing on rework context. 7th Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, SOHOMA’17, Oct 2017, Nantes, France. ⟨hal-01615343⟩
175 Consultations
404 Téléchargements

Partager

Gmail Facebook X LinkedIn More