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Order Management for Semiconductor Manufacturing - a new Approach Realized with Artificial Neural Networks

: Pirron, J.; Schmidt, T.; Wiendahl, H.-H.

International Federation of Automatic Control -IFAC-; International Federation for Information Processing -IFIP-; Institute of Electrical and Electronics Engineers -IEEE-; Institut National Polytechnique, Grenoble; Automatic Control Laboratory, Grenoble:
MCPL 2000, Second Conference on Management and Control of Production and Logistics. Summaries Volume : July 5-8, 2000, Grenoble, France
Grenoble, 2000
Conference on Management and Control of Production and Logistics (MCPL) <2, 2000, Grenoble>
Conference Paper
Fraunhofer IPA ()
PPS; PPC system; Order management; semiconductor manufacturing; dynamic system behaviour; logistic; iterative planning approach; artificial neural network; Halbleiter; Fertigung; Auftragsbearbeitung; 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 iterative planning concept using artificial neural networks to calculate the variable lead times.