A two-phase decoding genetic algorithm for TFT-LCD array photolithography stage scheduling problem with constrained waiting time

Tzu Yen Hong, Chen Fu Chien, Hung Kai Wang, Hong Zhi Guo

研究成果: Article同行評審

7 引文 斯高帕斯(Scopus)

摘要

The thin-film-transistor liquid crystal display (TFT-LCD) array process is usually the longest process in TFT-LCD production. During the TFT-LCD array process, the scheduling problem of the photolithography stage entails complicated constraints such as photo mask availability, available machines for jobs, and limited waiting time. This study proposes a two-phase decoding genetic algorithm (TDGA) to maximize utilization in the photolithography stage, which is usually the bottleneck. An empirical study was conducted at a leading TFT-LCD manufacturing company. To compare the performance of the TDGA with other metaheuristics, eight scenarios were simulated based on the empirical data. The experimental results show the practical viability of the proposed TDGA.

原文English
頁(從 - 到)200-211
頁數12
期刊Computers and Industrial Engineering
125
DOIs
出版狀態Published - 2018 十一月

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 工程 (全部)

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