Simulation model to control risk levels on process equipment through metrology in semiconductor manufacturing

Author(s):  
Alejandro Sendon ◽  
Stephane Dauzere-Peres ◽  
Jacques Pinaton
2012 ◽  
Vol 195 ◽  
pp. 277-279
Author(s):  
Shi Liu ◽  
Bin Liu

Micro-contamination exerts ever-increasing adverse impact on semiconductor manufacturing as device integration scale keeps increasing and device geometry continues decreasing. In particular, contaminations from particles, trace metals, and/or organic compounds can reduce device yield, quality, and reliability [. Metallic impurities from materials used for process equipment are one of the major contamination sources.


Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 394
Author(s):  
You-Jin Park ◽  
Sun Hur

As one of the semiconductor back-end processes, die attach process is the process that attaches an individual non-defective die (or chip) produced from the semiconductor front-end production to the lead frame on a strip. With most other processes of semiconductor manufacturing, it is very important to improve productivity by lessening the occurrence of defective products generally represented as losses, and then find the fault causes which lower productivity of the die attach process. Thus, as the case study to analyze quantitatively the faults of the die attach process equipment, in this research, we developed analysis systems including statistical analysis functions to improve the productivity of die attach process. This research shows that the developed system can find the causes of equipment faults in die attach process equipment and help improve the productivity of the die attach process by controlling the critical parameters which cause unexpected equipment faults and losses.


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