Analisis Kesesuaian Persediaan Spare Part Peralatan Listrik Terhadap Tingkat Konsumsi Operasional Menggunakan Metode ABC di Gudang PT. Pupuk Iskandar Muda
DOI:
https://doi.org/10.29103/iej.v15i1.26861Abstract
The management of spare parts inventory for electrical equipment at PT ABCDplays a crucial role in ensuring the continuity of the fertilizer production process. This study classifies 30 types of spare parts based on their operational consumption levels for the period January–December 2025 using the ABC method. This study also analyzes the alignment between actual stock levels and consumption by category, as well as explores consumption patterns and their impact on warehouse management strategies. A descriptive quantitative approach utilizes primary data from field observations and interviews with warehouse staff, as well as secondary data extracted from annual consumption reports (totaling 118 units). The ABC analysis applies the Pareto principle to annual usage, dividing items into Category A (8 items/26.7% of total items, with cumulative consumption of 72.04%; significant items: Philips light bulb 16.95%, air hose connector 16.95%, adapter 10.17%, belt sway switch 10.17%, carbon brush 70x32x19mm 7.63%), Category B (11 items/36.7%, cumulative consumption up to 90.66%; including earth brush 2.54%, MCB 10A circuit breaker 2.54%), and Category C (11 items/36.7%, the remainder with low consumption rates of 0.85%). The suitability evaluation revealed a 25% overstock in Category A (increased storage costs), a balanced inventory in Category B, and a 15% stockout in Category C (potential operational disruptions). This distribution confirms that the 27% of priority items account for 72% of total consumption, indicating the need for intensive monitoring with strategic shelf placement and appropriate safety stock for Category A, structured control for Category B, and simplification for Category C. The implementation of the ABC method has proven to improve warehouse efficiency, minimize the risk of stockouts, and significantly optimize operational costs.
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Copyright (c) 2026 Kamila, Muhammad Zakaria, Meutia

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