Learning an Inventory Control Policy with General Inventory Arrival Dynamics
In this paper we address the problem of learning and backtesting inventory control policies
in the presence of general arrival dynamics--which we term as a quantity-over-time arrivals …
in the presence of general arrival dynamics--which we term as a quantity-over-time arrivals …
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
Y Quan, Z Liu - arXiv preprint arXiv:2407.11384, 2024 - arxiv.org
Supply chain management (SCM) involves coordinating the flow of goods, information, and
finances across various entities to deliver products efficiently. Effective inventory …
finances across various entities to deliver products efficiently. Effective inventory …
Agent based modelling for continuously varying supply chains
W Wang, H Wang, AJ Sobey - arXiv preprint arXiv:2312.15502, 2023 - arxiv.org
Problem definition: Supply chains are constantly evolving networks. Reinforcement learning
is increasingly proposed as a solution to provide optimal control of these networks …
is increasingly proposed as a solution to provide optimal control of these networks …
Hierarchy Priortization and Dynamic Simulation for Low Volume Production Planning
JF Dcoutho, B Eisenbart… - 2023 IEEE Engineering …, 2023 - ieeexplore.ieee.org
The manufacturing industry is considered the backbone of multiple global economies.
However, the evolving market trends and elevated demand for low volume individualized …
However, the evolving market trends and elevated demand for low volume individualized …