2017IEEE Transactions on Semiconductor ManufacturingRequires access

A Testbed for Simulating Semiconductor Supply Chains

Hanna Ewen, Lars Mönch, Hans Ehm, Thomas Ponsignon, John Fowler, Lisa Forstner

Open publisher page 41 citations

Abstract

In this paper, a supply chain simulation testbed for the semiconductor industry is proposed. We start by identifying requirements for such reference datasets, and then we identify the main building blocks. The nodes of the supply chain that represent semiconductor wafer fabrication facilities (wafer fabs) are built on a simulation model from the measurement and improvement of manufacturing capacity project. We present two techniques to reduce the modeling and computational burden that are able to deal with load-dependent cycle times in single front-end and back-end facilities and in the overall network. The first method models in detail only the bottlenecks in the nodes of the supply chain, while the second one uses empirical distributions for cycle time and throughput. The quality of these reduction techniques is assessed by comparing the detailed model and the models with a reduced level of detail. We present an application scenario for the testbed by simulating a semiconductor supply network. In addition, the usage of the testbed is discussed.

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What this paper is about

In this paper, a supply chain simulation testbed for the semiconductor industry is proposed. We start by identifying requirements for such reference datasets, and then we identify the main building blocks. The nodes of the supply chain that represent semiconductor wafer fabrication facilities (wafer fabs) are built on a simulation model from the measurement and improvement of manufacturing capacity project. We present two techniques to reduce the modeling and computational burden that are able to deal with load-dependent cycle times in single front-end and back-end facilities and in the overall network. The first method models in detail only the bottlenecks in the nodes of the supply chain, while the second one uses empirical distributions for cycle time and throughput. The quality of these reduction techniques is assessed by comparing the detailed model and the models with a reduced level of detail. We present an application scenario for the testbed by simulating a semiconductor supply network. In addition, the usage of the testbed is discussed.

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Available abstract

In this paper, a supply chain simulation testbed for the semiconductor industry is proposed. We start by identifying requirements for such reference datasets, and then we identify the main building blocks. The nodes of the supply chain that represent semiconductor wafer fabrication facilities (wafer fabs) are built on a simulation model from the measurement and improvement of manufacturing capacity project. We present two techniques to reduce the modeling and computational burden that are able to deal with load-dependent cycle times in single front-end and back-end facilities and in the overall network. The first method models in detail only the bottlenecks in the nodes of the supply chain, while the second one uses empirical distributions for cycle time and throughput. The quality of these reduction techniques is assessed by comparing the detailed model and the models with a reduced level of detail. We present an application scenario for the testbed by simulating a semiconductor supply network. In addition, the usage of the testbed is discussed.

Key concepts: Testbed, Semiconductor device fabrication, Supply chain, Wafer fabrication, Computer science, Throughput, Wafer, Reliability engineering

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