A digital twin-based decision support approach for AGV scheduling

• Main Authors: Gao, Yinping, Chang, Daofang, Chen, Chun-Hsien, Sha, Mei
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Digital twin; Decision making
• Online Access: https://hdl.handle.net/10356/176062
• Institution: Nanyang Technological University

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...