Title :
Tool commonality analysis for yield enhancement
Author_Institution :
Motorola Inc., Austin, TX, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
ULSI semiconductor processing today involves hundreds of process steps through various semiconductor processing tools. Any tool excursion could lead to serious and costly yield problems. Tool commonality among bad lots is a proven technique to identify the root cause of the problem. As the complexity of process and the number of process steps increase, it is a very challenging task to pin point which tool is the source of problem and at which process step it occurs. Taking advantage of electronic lot tracking systems, systematic tool commonality analysis is capable of effectively identifying the problem source. The critical elements of successful tool commonality analysis are discussed and summarized in this paper, including sample size selection, raw data classification, statistical analysis, time series and analysis of tools with multiple entry points within the same process flow. Several pitfalls of the analysis are identified and discussed. This analysis is successfully applied on a yield enhancement effort in an advanced volume manufacturing fab.
Keywords :
CMOS integrated circuits; ULSI; fault diagnosis; integrated circuit yield; process monitoring; CMOS; ULSI semiconductor processing; electronic lot tracking system; multiple entry point tools; raw data classification; sample size selection; semiconductor processing tools; statistical analysis; time series; tool commonality analysis; tool excursion; volume manufacturing fab; yield enhancement; Data analysis; Data mining; Electronics industry; Problem-solving; Process control; Production; Semiconductor device manufacture; Statistical analysis; Time series analysis; Ultra large scale integration;
Conference_Titel :
Advanced Semiconductor Manufacturing 2002 IEEE/SEMI Conference and Workshop
Print_ISBN :
0-7803-7158-5
DOI :
10.1109/ASMC.2002.1001604