A review on learning to solve combinatorial optimisation problems in manufacturing

• Main Authors: ZHANG, Cong, WU, Yaoxin, MA, Yining, SONG, Wen, LE, Zhang, CAO, Zhiguang, ZHANG, Jie
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: bin packing; combinatorial optimisation; deep reinforcement learning; job shop scheduling; manufacturing systems; vehicle routing; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8085; https://ink.library.smu.edu.sg/context/sis_research/article/9088/viewcontent/IET_Collab_Intel_Manufact_2023_Zhang_pvoa.pdf
• Institution: Singapore Management University

An efficient manufacturing system is key to maintaining a healthy economy today. With the rapid development of science and technology and the progress of human society, the modern manufacturing system is becoming increasingly complex, posing new challenges to both academia and industry. Ever since t...