DocumentCode
1092219
Title
MMST manufacturing technology-hardware, sensors, and processes
Author
Barna, Gabriel G. ; Loewenstein, Lee M. ; Robbins, Roger ; Brien, Sean O. ; Lane, Andrew ; White, Daniel D., Jr. ; Hanratty, Maureen ; Hosch, Jimmy ; Shinn, Gregory B. ; Taylor, Kelly ; Brankner, Keith
Author_Institution
Texas Instrum. Inc., Dallas, TX, USA
Volume
7
Issue
2
fYear
1994
fDate
5/1/1994 12:00:00 AM
Firstpage
149
Lastpage
158
Abstract
This paper describes the equipment and processes utilized in the Microelectronics Manufacturing Science and Technology (MMST) program. The processes were carried out in a combination of testbeds (AVP, the TI designed and built Advanced Vacuum Processor) and commercial equipment, all in the single-wafer mode. All AVP processing was performed with the wafers in an inverted, face-down, configuration. All the processing equipment was connected to a Computer-Integrated Manufacturing (CIM) system, which both collected the designated data and communicated the process parameters from the CIM database to the particular processing unit. Where available, in situ sensors were utilized for monitoring the process parameters, with measurements made on a metrology die in the center of the wafer. Many of these processes were controlled by the model-based process control algorithms in the CIM system. Otherwise, the processes were controlled by standard statistical process control (SPC) methods. This paper emphasizes the processing methodology that was developed and followed in order to operate in this CIM environment and successfully execute an approximately 150 step 0.35 μm CMOS process in less than 72 hours
Keywords
computer integrated manufacturing; detectors; integrated circuit manufacture; lithography; monitoring; oxidation; plasma CVD; process computer control; sputter etching; statistical process control; surface treatment; 0.35 micron; Advanced Vacuum Processor; CIM system; CMOS process; MMST manufacturing technology; SPC methods; commercial equipment; computer-integrated manufacturing; inverted face-down configuration; model-based process control algorithms; monitoring; process parameters; processing equipment; sensors; single-wafer mode; statistical process control; Computer integrated manufacturing; Computerized monitoring; Condition monitoring; Databases; Face; Manufacturing processes; Microelectronics; Process control; Pulp manufacturing; Testing;
fLanguage
English
Journal_Title
Semiconductor Manufacturing, IEEE Transactions on
Publisher
ieee
ISSN
0894-6507
Type
jour
DOI
10.1109/66.286851
Filename
286851
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