2007 IEEE/SEMI Advanced Semiconductor Manufacturing Conference 2007
DOI: 10.1109/asmc.2007.4595694
|View full text |Cite
|
Sign up to set email alerts
|

Improving Priority Lot Cycle Times

Abstract: ISMI member companies defined two master goals for the 300mm Prime initiative (see [2]): 50% Cycle Time Reduction and 30% Cost Reduction. Combining these conflicting goals into a holistic approach represents a major challenge. This paper outlines how this goal can be targeted for priority lots. Though only a small share of WIP is priority lots, the benefit of short priority lot cycle time can be very persuading and the impact on overall costs very significant.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2007
2007
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 4 publications
0
1
0
Order By: Relevance
“…Over the last few years, a number of papers have focused on improving semiconductor production efficiency. (2,3) In contrast with these publications, very limited information is available on productivity improvements for research and development cleanrooms (4,5) or in facilities that are exercising a broad variety of fabrication process flows. Ramamurthi et al (4) described the analysis of production control methodologies and strategies for R&D fabs using simulations, while Pierce et al (5) investigated cycle time metrics related to cumulative queue and hold-time by equipment type.…”
Section: Introductionmentioning
confidence: 99%
“…Over the last few years, a number of papers have focused on improving semiconductor production efficiency. (2,3) In contrast with these publications, very limited information is available on productivity improvements for research and development cleanrooms (4,5) or in facilities that are exercising a broad variety of fabrication process flows. Ramamurthi et al (4) described the analysis of production control methodologies and strategies for R&D fabs using simulations, while Pierce et al (5) investigated cycle time metrics related to cumulative queue and hold-time by equipment type.…”
Section: Introductionmentioning
confidence: 99%