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A Survey of Yield Modeling and Yield Enhancement Methods
Fast yield learning is critical to bringing products to the market in a timely fashion and is strongly linked to product revenues. This paper reviews methods to enable efficient yield learning, focusing on methods to quantify the most significant yield detractors and on in-line excursion detection m...
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Published in: | IEEE transactions on semiconductor manufacturing 2013-05, Vol.26 (2), p.196-213 |
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container_issue | 2 |
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container_title | IEEE transactions on semiconductor manufacturing |
container_volume | 26 |
creator | Milor, L. |
description | Fast yield learning is critical to bringing products to the market in a timely fashion and is strongly linked to product revenues. This paper reviews methods to enable efficient yield learning, focusing on methods to quantify the most significant yield detractors and on in-line excursion detection methodologies. |
doi_str_mv | 10.1109/TSM.2013.2243766 |
format | article |
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This paper reviews methods to enable efficient yield learning, focusing on methods to quantify the most significant yield detractors and on in-line excursion detection methodologies.</description><subject>Applied sciences</subject><subject>Data models</subject><subject>Exact sciences and technology</subject><subject>Excursion detection</subject><subject>Firm modelling</subject><subject>Mathematical model</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Probes</subject><subject>Production</subject><subject>random yield</subject><subject>Semiconductor device modeling</subject><subject>systematic yield</subject><subject>Systematics</subject><subject>Throughput</subject><subject>yield</subject><subject>yield enhancement</subject><subject>yield modeling</subject><issn>0894-6507</issn><issn>1558-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNo9j01Lw0AQhhdRMFbvgpdcPCbOfmb3WEqtQoOH1oOnsMnO2kialGwU-u9NSelpYOZ9ZuYh5JFCSimYl-0mTxlQnjImeKbUFYmolDphXMhrEoE2IlESsltyF8IPABXCZBHR83jz2__hMe58_FVj4-K8c9jU7XdsW3duLdudbSvcYzvEOQ67zoV7cuNtE_DhXGfk83W5Xbwl64_V-2K-Tipm-JB4zcZbWoChSDMlBS-x0qVW0jorpdMOfEl9WTLhS2O9ZRU3CrkwzmegOZ8RmPZWfRdCj7449PXe9seCQnEyL0bz4mRenM1H5HlCDjZUtvH9-HsdLhzLBICResw9TbkaES9jJRg3kvN_AaNgbw</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Milor, L.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20130501</creationdate><title>A Survey of Yield Modeling and Yield Enhancement Methods</title><author>Milor, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-f8200184091e176543bec8b865ada55d8d0fb1fbb24fb9afa2c396e349df70833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Data models</topic><topic>Exact sciences and technology</topic><topic>Excursion detection</topic><topic>Firm modelling</topic><topic>Mathematical model</topic><topic>Operational research and scientific management</topic><topic>Operational research. 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identifier | ISSN: 0894-6507 |
ispartof | IEEE transactions on semiconductor manufacturing, 2013-05, Vol.26 (2), p.196-213 |
issn | 0894-6507 1558-2345 |
language | eng |
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source | IEEE Electronic Library (IEL) Journals |
subjects | Applied sciences Data models Exact sciences and technology Excursion detection Firm modelling Mathematical model Operational research and scientific management Operational research. Management science Probes Production random yield Semiconductor device modeling systematic yield Systematics Throughput yield yield enhancement yield modeling |
title | A Survey of Yield Modeling and Yield Enhancement Methods |
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