<![CDATA[This study investigates the inventory management system of primary transmission equipment (MTU) in an electric power company and compares the effectiveness of continuous and periodic review methods. This study is motivated by a surge in the failure rate of critical components in 2022, as well as procurement demand patterns dominated by intermittent (98 items) and lumpy (56 items) characteristics with total procurement value above Rp 2.1 trillion. The methodology consists of material classification, combination of the ADI ‑ CV and ABC methods, a calculation of inventory parameters through continuous review (s, Q) model for lumpy materials and periodic review (R, s, S) model for intermittent materials with a review interval (R) of six months, chosen to align with the company's semiannual stock opname policy, and validation using a Monte Carlo simulation on a sample of 20 MTUs from three main transmission units: UIT JBB, UIT JBT, and UIT JBM. The findings demonstrate that the current condition has reached a service level of 0.00% for all materials. The results of implementing the models show an increase in service levels to averages of 63.19% (UIT JBB), 69.31% (UIT JBT), and 66.21% (UIT JBM), with an overall service level of 68.82%. Service level standard deviations varied from 7.65% to 27.01% and depended on the material properties for inventory parameters. The study found that intermittent materials are better suited to a periodic review, while lumpy materials are more effectively managed with a continuous review. Furthermore, the Monte Carlo simulation is required to validate the parameters. The recommended policies are phased implementation beginning with the best-performing material (CVT150‑RFQ 007, service level 76.13%), limited joint inventory for high‑value items, and the creation of a real‑time inventory information system.]]>
