Single-station performance evaluation and improvement in semiconductor manufacturing: A graphical approach

The relationships between key indicators of manufacturing system performance, such as cycle time (CT), throughput (TH), utilization, work-in-process (WIP), and the variability factor (to be defined shortly in the text), are complicated and difficult to quantify. In most cases, manufacturing managers...

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Veröffentlicht in:International journal of production economics 2007-06, Vol.107 (2), p.397-403
Hauptverfasser: Li, Na, Zhang, Mike Tao, Deng, Shiming, Lee, Zu-Hsu, Zhang, Lawrence, Zheng, Li
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container_end_page 403
container_issue 2
container_start_page 397
container_title International journal of production economics
container_volume 107
creator Li, Na
Zhang, Mike Tao
Deng, Shiming
Lee, Zu-Hsu
Zhang, Lawrence
Zheng, Li
description The relationships between key indicators of manufacturing system performance, such as cycle time (CT), throughput (TH), utilization, work-in-process (WIP), and the variability factor (to be defined shortly in the text), are complicated and difficult to quantify. In most cases, manufacturing managers cannot optimize one characteristic without adversely affecting another. For example, in order to reduce inventory and shrink time-to-market, one may need to lower the WIP level to reduce CT; however, too much WIP reduction can lead to unexpected station starvation (stoppage) and, thus, degrade TH. Low utilization of expensive equipment is also unacceptable, especially for advanced semiconductor manufacturing. This challenge caused difficulties for Chinese companies to keep up with the pace of China's development in becoming a global manufacturing center. To assist manufacturing managers in improving manufacturing system performance, we developed a graph decision aid for single-station semiconductor manufacturing systems.
doi_str_mv 10.1016/j.ijpe.2006.08.011
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source RePEc; Elsevier ScienceDirect Journals
subjects Business process reengineering
China
Cycle time
Manufacturing
Manufacturing systems
Operations management
Optimization
Queue
Semiconductor manufacturing
Semiconductors
Studies
title Single-station performance evaluation and improvement in semiconductor manufacturing: A graphical approach
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