This study conducts a comprehensive analysis of deep reinforcement learning (DRL)
algorithms applied to supply chain inventory management (SCIM), which consists of a …

Governments and manufacturers are starting to enforce the European transport industry's
transition to sustainable mobility. Meanwhile, transport companies have begun to set their …

Reinforcement learning (RL) has proven to be well-performed and general-purpose in the
inventory control (IC). However, further improvement of RL algorithms in the IC domain is …

Spare parts inventory management is very important for PT XYZ, which is one of the largest
fertilizer producers in Indonesia. The cost of spare parts, especially for air compressors …

We investigate whether and how deep reinforcement learning (DRL) can be exploited for
managing inventory systems with a specific reference to perishable pharmaceutical …