Self-growth learning-based machine scheduler to minimize setup time and tardiness in OLED display semiconductor manufacturing-Reference-Cited by-同舟云学术

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Self-growth learning-based machine scheduler to minimize setup time and tardiness in OLED display semiconductor manufacturing

Published:2023-09 Issue: Volume:145 Page:110600
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Lee Donghun^ORCID,Lee Dongjin,Kim Kwanho^ORCID

Funder

Incheon National University

Ministry of Trade, Industry and Energy

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Elsevier BV

Subject

Software

Reference51 articles.

1. Big data analytics for intelligent manufacturing systems: A review;Wang;J. Manuf. Syst.,2022

2. Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system;Wang;Comput. Ind. Eng.,2020

3. A loosely-coupled deep reinforcement learning approach for order acceptance decision of mass-individualized printed circuit board manufacturing in industry 4.0;Leng;J. Clean. Prod.,2021

4. Manufacturing equipment technology for automotive display;Kikuchi,2022

5. Smart manufacturing systems: state of the art and future trends;Qu;Int. J. Adv. Manuf. Technol.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions;Applied Soft Computing;2024-10

2. Problems and Solution Methods of Machine Scheduling in Semiconductor Manufacturing Operations: A Survey;Sustainability;2023-08-29

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