Analyzing the Trade-Off Between Quality and Sojourn Time When Optimizing Sampling Plans in Semiconductor Manufacturing

Inspired by semiconductor manufacturing, this paper studies a system where the products processed on multiple production machines are sampled to be measured on a single metrology tool. In a previous research, we show that minimizing the expected number of defective products is not ensured by using the metrology tool at its maximum capacity, as it induces a congestion that impacts the expected product loss. However, the congestion of the metrology tool also impacts the expected sojourn time of products in metrology. Hence, in this paper, we analyze the trade-off between the expected product loss and the expected sojourn time when deciding how much of the metrology capacity should be used. Numerical results show that, depending on some parameters, the expected sojourn time can be reduced without increasing much the expected product loss.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838866
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Analyzing the Trade-Off Between Quality and Sojourn Time When Optimizing Sampling Plans in Semiconductor Manufacturing

Michael Hassoun, Stéphane Dauzère‐Pérès
Industrial Vision Systems and Defect Detection
article

Analyzing the Trade-Off Between Quality and Sojourn Time When Optimizing Sampling Plans in Semiconductor Manufacturing

Michael Hassoun, Stéphane Dauzère‐Pérès
article en

Abstract

Inspired by semiconductor manufacturing, this paper studies a system where the products processed on multiple production machines are sampled to be measured on a single metrology tool. In a previous research, we show that minimizing the expected number of defective products is not ensured by using the metrology tool at its maximum capacity, as it induces a congestion that impacts the expected product loss. However, the congestion of the metrology tool also impacts the expected sojourn time of products in metrology. Hence, in this paper, we analyze the trade-off between the expected product loss and the expected sojourn time when deciding how much of the metrology capacity should be used. Numerical results show that, depending on some parameters, the expected sojourn time can be reduced without increasing much the expected product loss.

Université Clermont Auvergne (FR), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (FR), Ariel University (IL)
Openalex Percentile: Top 62%
Industrial Vision Systems and Defect Detection
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