Using AHP process for scheduling problem based on smart lots and their quality prediction capability
Résumé
Scheduling problem in manufacturing companies with high rework rates remains an actual complex research source. This paper presents a method combining a predictive schedule to a proactive decision making based on smart lots. Each batch embed an algorithm allowing it to predict its quality on the next workstation. As soon as a lot determines that its process is too hazardous a collaborative rescheduling decision, using analytic hierarchical process, is initiated with its peer. A simulation model, inspired from a lacquering robot case study is described. Then, the results of different scenarios are presented and discussed.
Domaines
Automatique / Robotique
Fichier principal
Sohoma_2018_Zimmermann_Bril_Thomas_Pannequin_Noyel.pdf (443.4 Ko)
Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...