DocumentCode :
1564655
Title :
Effect of Reduced Equipment Downtime Variability on Cycle Time in a Conventional 300mm Fab
Author :
Babbs, Daniel ; Gaskins, Robert
Author_Institution :
Brooks Autom. Inc., Chelmsford, MA
fYear :
2008
Firstpage :
237
Lastpage :
242
Abstract :
The semiconductor industry is pursuing further cycle time and cost reductions through an initiative termed 300 mm Prime. One key area of focus is improving process tool availability. Equipment downtime-particularly unscheduled down time due to a failure-causes disruptions to production, loss of productivity, and higher costs. This paper focuses on fab productivity improvements resulting from the reduction of tool downtime variability. Preventive maintenance can reduce the risk of unscheduled downtime. Discrete-event simulation is used to investigate the relationship between downtime variability and overall cycle time in a conventional 300 mm fab with batch tools. Variance reduction is modeled by reducing the standard deviation of the time to repair a failed tool and by increasing the portion of tool downtime reserved for regularly scheduled preventive maintenance. Also, the effect of reserving capacity in the form of additional tools is assessed and compared to the effect of reduced downtime variability.
Keywords :
discrete event simulation; semiconductor device manufacture; cost reductions; cycle time reductions; discrete-event simulation; fab productivity; reduced equipment downtime variability; semiconductor industry; Automation; Costs; Discrete event simulation; Electronics industry; Job shop scheduling; Preventive maintenance; Production; Productivity; Semiconductor device manufacture; Throughput; 300mm; 300mm Prime; cycle time reduction; discrete-event simulation; preventive maintenance; small-lot manufacturing; tool downtime; variance reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference, 2008. ASMC 2008. IEEE/SEMI
Conference_Location :
Cambridge, MA
ISSN :
1078-8743
Print_ISBN :
978-1-4244-1964-7
Electronic_ISBN :
1078-8743
Type :
conf
DOI :
10.1109/ASMC.2008.4529045
Filename :
4529045
Link To Document :
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