Optimizing Inventory Control in Supply Chain Management

This paper introduces dynamic programming as a powerful mathematical approach to address the challenges of Inventory control and explains its advantages, including long-term focus, adaptability, and the ability to handle multi-stage decision processes. The study shows how dynamic programming can be used to make optimal decisions regarding inventory selection, calculation of optimal order quantities, and scheduling of order points, with the aim of minimizing inventory costs. It also outlines the problem modeling and resolution methodology using the Inventory Dynamic Programming Algorithm and discusses the potential benefits of this approach for businesses operating in dynamic and uncertain environments.