Event Based Identification and Prediction of Congestions in Manufacturing Plants

Abstract : 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.
Type de document :
Communication dans un congrès
George L. Kovács; Detlef Kochan. 6th Programming Languages for Manufacturing (PROLAMAT), Oct 2013, Dresden, Germany. Springer, IFIP Advances in Information and Communication Technology, AICT-411, pp.376-390, 2013, Digital Product and Process Development Systems. 〈10.1007/978-3-642-41329-2_37〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01485832
Contributeur : Hal Ifip <>
Soumis le : jeudi 9 mars 2017 - 14:25:19
Dernière modification le : jeudi 9 mars 2017 - 14:40:41
Document(s) archivé(s) le : samedi 10 juin 2017 - 14:39:20

Fichier

978-3-642-41329-2_37_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Clemens Schwenke, Thomas Wagner, Klaus Kabitzsch. Event Based Identification and Prediction of Congestions in Manufacturing Plants. George L. Kovács; Detlef Kochan. 6th Programming Languages for Manufacturing (PROLAMAT), Oct 2013, Dresden, Germany. Springer, IFIP Advances in Information and Communication Technology, AICT-411, pp.376-390, 2013, Digital Product and Process Development Systems. 〈10.1007/978-3-642-41329-2_37〉. 〈hal-01485832〉

Partager

Métriques

Consultations de la notice

161

Téléchargements de fichiers

88