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.
Originalsprache | Englisch |
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Titel des Sammelwerks | Proceedings of the 7th International Conference on Industrial Engineering and Systems Management. In . Hrsg. IESM 2017, 87-92. Saarbrücken: - |
Herausgeber*innen | IESM 2017 |
Erscheinungsort | Saarbrücken |
Seiten | 87 - 92 |
Publikationsstatus | Veröffentlicht - 2017 |
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 102009 Computersimulation
- 502052 Betriebswirtschaftslehre
- 502012 Industriebetriebslehre
- 211
- 502017 Logistik
- 502032 Qualitätsmanagement