Dispatching Rules with Cycle Time Prediction for Semiconductor Manufactury

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 5
EP  - 9
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.2
DO  - 10.2991/ceis-16.2016.2
ID  - Wei2016/11
ER  -