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Concept and possible application of an automated framework to influence production dispatch based on supply chain events

 
: Bauer, Dennis; Maier, Florian; Bauernhansl, Thomas; Waschneck, Bernd; Ponsignon, Thomas; Gürster, Daniel; Oberegger, Bernhard; Felsberger, Andreas; Reiner, Gerald

:
Volltext urn:nbn:de:0011-n-4732586 (513 KByte PDF)
MD5 Fingerprint: d319961420bebd93dda17ceb9d99bbc5
Erstellt am: 9.11.2017


Bousonville, Thomas ; Institute of Electrical and Electronics Engineers -IEEE-; Hochschule für Technik und Wirtschaft des Saarlandes; Université de Lorraine:
Industry and logistics 4.0. Trends, benefits and challenges for industrial growth : Saarbrücken, Germany, October 11-13, 2017; Proceedings of 2017 International Conference on Industrial Engineering and Systems Management (IESM)
Saarbrücken: HTW Saar, 2017
S.87-92
International Conference on Industrial Engineering and Systems Management (IESM) <7, 2017, Saarbrücken>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Prozesskontrolle; Supply Chain Information System (SCIS); Supply Chain Logistics Planning (SCLP); Supply Chain Management (SCM); industrial engineering; statistische Prozesskontrolle; dispatching; Entscheidungsfindung; automatisierte Entscheidungsfindung; erweiterte Prozesskontrolle

Abstract
We present in this paper an automated framework for linking supply chain events to production management. While events in the supply chain are detected using statistical process control, the control loop to production is closed using ideas inspired from run-to-run control. The proposed framework is expected to offer a higher level of flexibility with respect to demand changes. This results in increased on-time delivery for customers. While the semiconductor industry faces the challenge of volatile markets, long cycle times and short product life cycles, systems for demand planning and production management are nowadays often decoupled. Therefore, the proposed framework will be applied to semiconductor manufacturing to link demand planning with production management.

: http://publica.fraunhofer.de/dokumente/N-473258.html