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Model to determine a general X-factor contribution and apply to cycle time improvement for wafer fabrication

Model to determine a general X-factor contribution and apply to cycle time improvement for wafer... Shortening cycle time and maximising output are the major concerns of highly competitive industry. In this paper, an Adjusted X-Factor Contribution (AXFC) measurement is developed, which considers batching process, un-batching process and machine failure. A general model is established to determine the X-factor contribution for all types of machines. In this model, GI/G/m queuing theory is applied to estimate the aggregated cycle time. The machine downtime variability, lot arrival variability, batching and un-batching processing are considered. Finally, the effects of system performances by improving the workstations with high utilisation and high AXFC are explored. The results showed that the cycle time and cycle time variability of products could be affected by the relative locations of high utilisation and high AXFC workstations. Furthermore, the results also revealed that reducing failure frequency of high AXFC workstation will perform as good as high utilisation workstation on cycle time improving. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Model to determine a general X-factor contribution and apply to cycle time improvement for wafer fabrication

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2009.026953
Publisher site
See Article on Publisher Site

Abstract

Shortening cycle time and maximising output are the major concerns of highly competitive industry. In this paper, an Adjusted X-Factor Contribution (AXFC) measurement is developed, which considers batching process, un-batching process and machine failure. A general model is established to determine the X-factor contribution for all types of machines. In this model, GI/G/m queuing theory is applied to estimate the aggregated cycle time. The machine downtime variability, lot arrival variability, batching and un-batching processing are considered. Finally, the effects of system performances by improving the workstations with high utilisation and high AXFC are explored. The results showed that the cycle time and cycle time variability of products could be affected by the relative locations of high utilisation and high AXFC workstations. Furthermore, the results also revealed that reducing failure frequency of high AXFC workstation will perform as good as high utilisation workstation on cycle time improving.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2009

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