The supply level is a stock management policy in the Republic of Korea Army that expresses inventory levels in terms of days. The purpose of operating the supply level system is to ensure continuous, cost-effective, and efficient supply operations. However, the current supply level determination lacks a clear basis for calculation. To address this issue, previous studies have proposed various methods for determining supply levels, such as simulations and meta- modeling. However, these studies fail to account for the dynamics of demand and lead time, which can fluctuate over time during wartime. This study aims to overcome these limitations by applying Rolling-Horizon optimization in sys- tem dynamics. To achieve this, we construct a supply chain model for the Army and incorporate real-world supply operation data from the Republic of Korea Army into the model. Through the application of system dynamics-based Rolling-Horizon optimization, we determine the optimal supply level while considering time-varying demand and lead time. Furthermore, this research not only establishes a theoretical framework for supply level determination but also provides practical insights for military logistics, enabling supply officers to adapt inventory management strategies in response to uncertain and evolving wartime conditions.
Lim et al. (Tue,) studied this question.