<![CDATA[Objective: PT. XYZ faced overstock issues with paint inventory because purchase order (PO) quantities did not align with actual production needs, thereby increasing holding costs and tying up company capital. This study aims to analyze the overstock situation; apply ABC Analysis, safety stock (SS), reorder point (ROP), economic order quantity (EOQ), and cost analysis to optimize inventory control; and compare inventory costs before and after implementing these methods. Methods: This study employs a quantitative descriptive approach using a case study of PT. XYZ. The data utilized consists of paint purchase orders from October 2025 to March 2026, processed via ABC classification, followed by calculations for SS, ROP, EOQ, and total inventory cost analysis. Results: ABC analysis classified nine types of paint, with Class A (5 items) accounting for 84.53% of the total inventory value; this resulted in a total SS of 403 units, an ROP of 487 units, and an EOQ of 207 units, with an ordering frequency of 44 times per period. The application of EOQ and cost analysis reduced total inventory costs from Rp40,057,229.53 to Rp14,914,561.24, representing an efficiency gain of 62.8%. Novelty: This study simultaneously integrates ABC, SS, ROP, EOQ, and cost analysis methods using real six-month purchase order data to control paint overstock in an assembly-based manufacturing company—an integrated approach rarely applied in previous studies, which typically utilized only a single method.]]>
Copyrights © 2026
