DocumentCode :
1361639
Title :
Hunting Down the Bubble Makers in Fabs
Author :
Hassoun, M. ; Rabinowitz, G.
Author_Institution :
Ind. Eng. & Manage. Dept., Ben Gurion Univ. of the Negrev, Beer-Sheva, Israel
Volume :
23
Issue :
1
fYear :
2010
Firstpage :
13
Lastpage :
20
Abstract :
Based on a simulated non volatile memory fab, we employ data-mining to identify and quantify the apparent causes of work in process bubbles along the process. The chosen bubble formalization methods proved able to detect the phenomenon and enabled its occurrence frequency to be forecasted. In the chosen environment, bubbles seem to be highly correlated with the utilization patterns of the process segment considered.
Keywords :
bubbles; data mining; electronic engineering computing; random-access storage; bubble formalization methods; data mining; simulated nonvolatile memory fab; work-in-process; Production management; congestion; semiconductors; work-in-process;
fLanguage :
English
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on
Publisher :
ieee
ISSN :
0894-6507
Type :
jour
DOI :
10.1109/TSM.2009.2039244
Filename :
5357373
Link To Document :
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