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2019
Book Article
Title

Automated Framework Based on Supply Chain Events

Abstract
We present in this chapter an automated framework for linking supply chain events to production management. Thereby, the challenge of acting more flexibly in volatile markets for manufacturing companies is addressed. While events in the supply chain are detected using statistical process control (SPC) in the proposed framework, the control loop to production is closed using ideas inspired from run-to-run control. The 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 decoupled. Therefore, the proposed framework supports semiconductor manufacturing in linking demand planning with production management.
Author(s)
Bauer, Dennis  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Schlereth, Andreas  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Maier, Florian  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Ponsignon, Thomas
Infineon Technologies AG
Bernd, Waschneck
Infineon Technologies AG
Mainwork
A SemI40 Project Prospective. Online resource  
Open Access
File(s)
Download (412.88 KB)
Rights
CC BY-NC 4.0: Creative Commons Attribution-NonCommercial
DOI
10.24406/publica-fhg-259911
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • framework

  • Lieferkette

  • Statistical process control

  • Statistische Prozesskontrolle

  • Halbleiterfertigung

  • Produktionsmanagement

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