EconPapers    
Economics at your fingertips  
 

Virtual metrology-based engineering chain management by multi-classification of quality using support vector machine for semiconductor manufacturing

Sumika Arima

International Journal of Industrial and Systems Engineering, 2011, vol. 8, issue 1, 1-18

Abstract: This paper suggested that engineering chain management (ECM) that manages technical information and the process is necessary for the semiconductor industry. A virtual metrology-based (VM) manufacturing management system was proposed. This system realised the ECM concept, succeeded in real-time quality prediction and served a consistent driver to actions of all divisions of work. Support vector machine (SVM) was applied to construct an accurate VM model that provided multi-class quality prediction of the product. Although only the equipment variable data of a real mass production factory was used as an input, the VM model predicted with 100% accuracy the quality of the product.

Keywords: quality management; virtual metrology; semiconductor manufacturing; engineering chain management; SVM; support vector machines; multi-classification; quality prediction; systems engineering; product quality. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=40763 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:8:y:2011:i:1:p:1-18

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijisen:v:8:y:2011:i:1:p:1-18