Title: A compact abstraction of manufacturing nodes in a supply network

Authors: Brett M. Duarte, John W. Fowler, Kraig Knutson, Esma Gel, Dan Shunk

Addresses: Department of Industrial Engineering, Arizona State University, P.O. Box 875906, Tempe, Arizona 85287-5906, USA. ' Department of Industrial Engineering, Arizona State University, P.O. Box 875906, Tempe, Arizona 85287-5906, USA. ' Department of Industrial Engineering, Arizona State University, P.O. Box 875906, Tempe, Arizona 85287-5906, USA. ' Department of Industrial Engineering, Arizona State University, P.O. Box 875906, Tempe, Arizona 85287-5906, USA. ' Department of Industrial Engineering, Arizona State University, P.O. Box 875906, Tempe, Arizona 85287-5906, USA

Abstract: This paper presents the abstraction process to support a modular approach for simulating semiconductor supply networks by modelling each node in the network as a |Functional Block|. In particular, a functional block to represent wafer fabrication facilities is developed, which strikes a suitable balance between a high level abstraction and modelling the detailed complexities of a manufacturing facility. We demonstrate that the model is able to produce performance estimates (average Cycle Time (CT) and Throughput (TH)) that resemble the behaviour of real-life systems and are accurate with respect to comparisons with a detailed Discrete Event Simulation (DES) model.

Keywords: supply chain management; SCM; discrete event simulation; DES; parameterisation; Markov chain; speed; accuracy; manufacturing nodes; semiconductor supply networks; modelling; wafer fabrication; cycle time; throughput.

DOI: 10.1504/IJSPM.2007.015236

International Journal of Simulation and Process Modelling, 2007 Vol.3 No.3, pp.115 - 126

Published online: 28 Sep 2007 *

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