A digital twin-based decision support approach for AGV scheduling

The dynamic and complex environment affects the operational efficiency of automated guided vehicles (AGVs) at automated container terminals, in which artificial intelligent approaches are applied to address optimization problems in dynamic systems. This paper proposes a digital twin-based decision s...

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Main Authors: Gao, Yinping, Chang, Daofang, Chen, Chun-Hsien, Sha, Mei
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/176062
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機構: Nanyang Technological University
語言: English