Data-Driven Optimization for Energy-Constrained Dietary Supplement Scheduling: A Bounded Cut MP-DQN Approach

• Main Authors: Zhao, Yaping, Ma, Siqi, Mo, Xiangzhi, Xu, Xiaoyun
• 格式: text
• 出版: Archīum Ateneo 2024
• 主題: Dietary supplement production; Energy constraint; Reinforcement learning; Weighted tardiness; Computer Engineering; Engineering; Industrial Engineering; Operations Research, Systems Engineering and Industrial Engineering
• 在線閱讀: https://archium.ateneo.edu/gsb-pubs/85; https://doi.org/10.1016/j.cie.2024.109894

Energy rationing exerts a substantial influence on the landscape of manufacturing operations. When mandatory energy rationing occurs, manufacturers find themselves compelled to adapt their production strategies to align with the prescribed rationing timetable. In more challenging scenarios when ener...