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

• المؤلفون الرئيسيون: Zhao, Yaping, Ma, Siqi, Mo, Xiangzhi, Xu, Xiaoyun
• التنسيق: text
• منشور في: Archīum Ateneo 2024
• الموضوعات: Dietary supplement production; Energy constraint; Reinforcement learning; Weighted tardiness; Computer Engineering; Engineering; Industrial Engineering; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: 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...