Dynamic Safety Stock Calibration and Replenishment Intelligence: Deep Reinforcement Learning for Multi-Echelon Inventory Optimisation

Authors

  • Andrés Ortiz Professor of Industrial Engineering, Universidad Industrial de Santander (UIS)

Keywords:

dynamic safety stock calibration, replenishment intelligence, deep reinforcement learning, multi-echelon inventory optimisation, machine learning

Abstract

Inventory management is a crucial domain in the retail sector that influences various operations. Managing inventory generically implies having the right items, at the right price, in the right quantity, in the right place, at the right time, and in the right condition. This task ensures that goods are available when needed, service levels are maintained, and costs of excess stock are minimized.

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Published

31-12-2023

How to Cite

[1]
“Dynamic Safety Stock Calibration and Replenishment Intelligence: Deep Reinforcement Learning for Multi-Echelon Inventory Optimisation”, Blockchain Tech. & Distributed Sys., vol. 3, no. 2, pp. 51–59, Dec. 2023, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/846