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

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)200-211
Number of pages12
JournalComputers and Industrial Engineering
Volume125
DOIs
Publication statusPublished - 2018 Nov

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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