MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

2023-08-03 · Rémi Leluc, Elie Kadoche, Antoine Bertoncello, Sébastien Gourvénec

Maintaining a balance between the supply and demand of products by optimizing replenishment decisions is one of the most important challenges in the supply chain industry. This paper presents a novel reinforcement learning framework called MARLIM, to address the inventory management problem for a single-echelon multi-products supply chain with stochastic demands and lead-times. Within this context, controllers are developed through single or multiple agents in a cooperative setting. Numerical experiments on real data demonstrate the benefits of reinforcement learning methods over traditional baselines.

📄 PDF Abstract BibTeX arXiv:2308.01649

Code (0)

등록된 구현이 없습니다.

Tasks

Management Multi-agent Reinforcement Learning reinforcement-learning Reinforcement Learning

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management

2023-06-13 · Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang 외

Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn within a shared environment. This paradigm is applicable to various industrial scenarios such as autonomous driving, quantitative t…

Autonomous Driving Management Multi-agent Reinforcement Learning reinforcement-learning+1

InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains

2024-07-16 · Yinzhu Quan, Zefang Liu

Supply chain management (SCM) involves coordinating the flow of goods, information, and finances across various entities to deliver products efficiently. Effective inventory management is crucial in today's volatile and …

Decision Making Language Modeling Language Modelling Large Language Model+2

An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems

2023-07-21 · Marwan Mousa, Damien van de Berg, Niki Kotecha, Ehecatl Antonio del Rio-Chanona 외

Most solutions to the inventory management problem assume a centralization of information that is incompatible with organisational constraints in real supply chain networks. The inventory management problem is a well-kno…

Management Multi-agent Reinforcement Learning reinforcement-learning

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

2022-12-15 · Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang 외

In this paper, we consider the inventory management (IM) problem where we need to make replenishment decisions for a large number of stock keeping units (SKUs) to balance their supply and demand. In our setting, the cons…

Management Multi-agent Reinforcement Learning reinforcement-learning Reinforcement Learning+1

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

2020-06-07 · Nazneen N Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath 외

This paper describes the application of reinforcement learning (RL) to multi-product inventory management in supply chains. The problem description and solution are both adapted from a real-world business solution. The n…

Decision Making Hierarchical Reinforcement Learning Management reinforcement-learning+2