Task scheduling strategy for 3DPCP considering multidynamic information perturbation in green scene

• Main Authors: HE, JianJia, WU, Jian, SIAU, Keng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Green Scene; Multidynamic Information; 3D Printing Cloud Platform (3DPCP); Task Scheduling; Heuristic Scheduling Strategy; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/9343; https://ink.library.smu.edu.sg/context/sis_research/article/10343/viewcontent/Task_Scheduling_Strategy_for_3DPCP_Considering_Mul.pdf
• Institution: Singapore Management University

The 3D printing cloud platform (3DPCP) plays a pivotal role in breaking down the information silos between supply and demand, effectively reducing waste through information integration and intelligent production. However, due to the complexity of 3DPCP scheduling in green scenes and the multidynamic...