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Order management for semiconductor manufacturing - a new approach realized with artificial neural networks

Auftragsbearbeitung mit künstlichen Neuronalen Netzen für die Halbleiterfertigung
: Sihn, W.; Pirron, J.; Schmidt, T.; Wiendahl, H.-H.; Mußbach-Winter, U.

Hamza, M.H. ; International Association of Science and Technology for Development -IASTED-:
Intelligent Systems and Control. Proceedings of the IASTED International Conference Intelligent Systems and Control
Anaheim: IASTED/ACTA Press, 2000
ISBN: 0-88986-296-6
International Conference Intelligent Systems and Control <2000, Honolulu/Hawaii>
Conference Paper
Fraunhofer IPA ()
Production Planning and Control (PPC); PPS; dynamisches System; artificial neural network; Auftragsbearbeitung; Halbleiter; Fertigung; Fertigungsplanung; Fertigungssteuerung

Turbulent markets have led to changes in the manufacturing area which paved the way for new concepts and planning approaches. The paper deals with a planning problem which is specific to the semiconductor industry. The conventional planning procedure according to which resources are planned with constant lead times for given planning periods presents a real dilemma for semiconductor manufacturer. One way out of this dilemma is the use of rough planning methods with variable lead times. This article describes such a procedure based on an interative planning concept using artificial neural networks to calculate the variable lead times.