Trianisa Muniroh (1), Enny Aryanny (2)
General Background: Inventory management is a critical component in ensuring operational continuity and cost control in industrial systems. Specific Background: PT X, a company engaged in port equipment maintenance and spare parts supply, experiences significant demand fluctuations for hydraulic oil and grease at Site A, leading to recurring inventory shortages. Knowledge Gap: The existing inventory control approach has not yet achieved optimal cost efficiency while maintaining adequate stock availability under uncertain demand conditions. Aims: This study aims to determine an optimal inventory control policy that minimizes total inventory costs while ensuring the availability of critical spare parts. Results: The findings indicate that the Continuous Review (Q) model with a backorder policy produces a total inventory cost of Rp 942,200,426 for the January–December 2026 period, with optimal order quantities of 1,672 liters and 90 kg, and reorder points of 878 liters and 48 kg for hydraulic oil and grease, respectively. Novelty: The study applies a comparative analysis of Continuous Review and Periodic Review models under a backorder policy using probabilistic demand data to identify a cost-minimizing strategy. Implications: The results support the adoption of the Continuous Review (Q) backorder model as a more efficient inventory control policy to reduce total costs and maintain supply reliability in spare parts management systems.
Highlights:
Keywords: Continuous Review, Inventory Control, Periodic Review, Probabilistic
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