To improve product yield in high-product-mix semiconductor manufacturing, it is important to estimate the systematic yield inherent to each product and to extract problematic products that have low systematic yields. We propose a simplified and available yield model using a critical area analysis. This model enables the extraction of problematic products by the relationship between actual yields and the short sensitivities of the products. Furthermore, we present an enterprise-wide yield management system using this model and some useful applications. As a result, the system increases the efficiency of the yield management and enhancement dramatically.
Yuichi HAMAMURA
Chizu MATSUMOTO
Yoshiyuki TSUNODA
Koji KAMODA
Yoshio IWATA
Kenji KANAMITSU
Daisuke FUJIKI
Fujihiko KOJIKA
Hiromi FUJITA
Yasuo NAKAGAWA
Shun'ichi KANEKO
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Yuichi HAMAMURA, Chizu MATSUMOTO, Yoshiyuki TSUNODA, Koji KAMODA, Yoshio IWATA, Kenji KANAMITSU, Daisuke FUJIKI, Fujihiko KOJIKA, Hiromi FUJITA, Yasuo NAKAGAWA, Shun'ichi KANEKO, "Development of an Enterprise-Wide Yield Management System Using Critical Area Analysis for High-Product-Mix Semiconductor Manufacturing" in IEICE TRANSACTIONS on Electronics,
vol. E92-C, no. 1, pp. 144-152, January 2009, doi: 10.1587/transele.E92.C.144.
Abstract: To improve product yield in high-product-mix semiconductor manufacturing, it is important to estimate the systematic yield inherent to each product and to extract problematic products that have low systematic yields. We propose a simplified and available yield model using a critical area analysis. This model enables the extraction of problematic products by the relationship between actual yields and the short sensitivities of the products. Furthermore, we present an enterprise-wide yield management system using this model and some useful applications. As a result, the system increases the efficiency of the yield management and enhancement dramatically.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E92.C.144/_p
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@ARTICLE{e92-c_1_144,
author={Yuichi HAMAMURA, Chizu MATSUMOTO, Yoshiyuki TSUNODA, Koji KAMODA, Yoshio IWATA, Kenji KANAMITSU, Daisuke FUJIKI, Fujihiko KOJIKA, Hiromi FUJITA, Yasuo NAKAGAWA, Shun'ichi KANEKO, },
journal={IEICE TRANSACTIONS on Electronics},
title={Development of an Enterprise-Wide Yield Management System Using Critical Area Analysis for High-Product-Mix Semiconductor Manufacturing},
year={2009},
volume={E92-C},
number={1},
pages={144-152},
abstract={To improve product yield in high-product-mix semiconductor manufacturing, it is important to estimate the systematic yield inherent to each product and to extract problematic products that have low systematic yields. We propose a simplified and available yield model using a critical area analysis. This model enables the extraction of problematic products by the relationship between actual yields and the short sensitivities of the products. Furthermore, we present an enterprise-wide yield management system using this model and some useful applications. As a result, the system increases the efficiency of the yield management and enhancement dramatically.},
keywords={},
doi={10.1587/transele.E92.C.144},
ISSN={1745-1353},
month={January},}
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TY - JOUR
TI - Development of an Enterprise-Wide Yield Management System Using Critical Area Analysis for High-Product-Mix Semiconductor Manufacturing
T2 - IEICE TRANSACTIONS on Electronics
SP - 144
EP - 152
AU - Yuichi HAMAMURA
AU - Chizu MATSUMOTO
AU - Yoshiyuki TSUNODA
AU - Koji KAMODA
AU - Yoshio IWATA
AU - Kenji KANAMITSU
AU - Daisuke FUJIKI
AU - Fujihiko KOJIKA
AU - Hiromi FUJITA
AU - Yasuo NAKAGAWA
AU - Shun'ichi KANEKO
PY - 2009
DO - 10.1587/transele.E92.C.144
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E92-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2009
AB - To improve product yield in high-product-mix semiconductor manufacturing, it is important to estimate the systematic yield inherent to each product and to extract problematic products that have low systematic yields. We propose a simplified and available yield model using a critical area analysis. This model enables the extraction of problematic products by the relationship between actual yields and the short sensitivities of the products. Furthermore, we present an enterprise-wide yield management system using this model and some useful applications. As a result, the system increases the efficiency of the yield management and enhancement dramatically.
ER -