Dynamic replenishment policy for perishable goods using change point detection-based soft actor-critic reinforcement learning

• Published in: Expert systems with applications Vol. 270; p. 126556
• Main Authors: Kou, Aiqing, Cheng, Yan, Huang, Xiangyu, Jin, Jing
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 25.04.2025
• Subjects: Change point detection; Perishable goods; Reinforcement learning; Replenishment policy; Soft actor-critic; Soft actor-critic; Perishable goods; Replenishment policy; Change point detection; Reinforcement learning

This paper examines the problem of establishing a dynamic replenishment policy that minimizes the costs associated with selling perishable goods. The perishable inventory is highly desired to match the realized demand. However, the demand exhibits significant non-stationarity, which is characterized...