Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Dispatching Rules with Cycle Time Prediction for Semiconductor Manufactury

Authors
Yin-Dong Wei, Qi-Di Wu, Li Li
Corresponding Author
Yin-Dong Wei
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.2How to use a DOI?
Keywords
remaining cycle time prediction;semiconductor manufacturing system; scheduling
Abstract
Semiconductor manufacturing system is considered as one of the most complex manufacturing systems, due to its characteristics like multiple-entry and large-scale. As for scheduling a job, its remaining cycle time is an important factor to the decision, but current researches seldom study the influence of a job's remaining cycle time on the performance of the system. Therefore, in this paper a novel scheduling strategy with remaining cycle time prediction is proposed. The method has two steps. First, we use the product line data to establish the remaining cycle time prediction model. Second, when scheduling the job in bottleneck equipment, we use the model to predict the remaining cycle time for scheduling decision. Several online simulations show that the new strategy has improved by 8% in On-time delivery rate (abbreviated as MOV). Meanwhile, the performance of movement of the jobs (abbreviated as MOV) in one day is almost the same as the rule without remaining cycle time prediction.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yin-Dong Wei
AU  - Qi-Di Wu
AU  - Li Li
PY  - 2016/11
DA  - 2016/11
TI  - Dispatching Rules with Cycle Time Prediction for Semiconductor Manufactury
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.2
DO  - https://doi.org/10.2991/ceis-16.2016.2
ID  - Wei2016/11
ER  -