Event Based Identification and Prediction of Congestions in Manufacturing Plants - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Event Based Identification and Prediction of Congestions in Manufacturing Plants

Résumé

In modern manufacturing plants, most prominently in semiconductor manufacturing, complex interwoven automated material handling systems are used to transport lots between productive service stations. In busy areas, these systems often show transient congestion phenomena that have a negative impact on the throughput of the factory. Because of the systems complexity and the large amount of data originating from several thousand transports a day, these congestions are difficult to detect and to trace or even to predict. In this paper, the authors present an approach to detect congestions in such systems using an event-based model building and analysis approach. Once such effects have been identified, an algorithm is proposed to derive congestion prognosis rules which can then be used to implement effective congestion prevention mechanisms.
Fichier principal
Vignette du fichier
978-3-642-41329-2_37_Chapter.pdf (658.15 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01485832 , version 1 (09-03-2017)

Licence

Paternité

Identifiants

Citer

Clemens Schwenke, Thomas Wagner, Klaus Kabitzsch. Event Based Identification and Prediction of Congestions in Manufacturing Plants. 6th Programming Languages for Manufacturing (PROLAMAT), Oct 2013, Dresden, Germany. pp.376-390, ⟨10.1007/978-3-642-41329-2_37⟩. ⟨hal-01485832⟩
391 Consultations
95 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More