Strategi Hybrid Dalam Manajemen Persediaan Spare part Untuk Mengurangi Biaya : Studi Kasus Di Sebuah Perusahaan Alat Berat

Hartlan, Dinda Maurissa (2026) Strategi Hybrid Dalam Manajemen Persediaan Spare part Untuk Mengurangi Biaya : Studi Kasus Di Sebuah Perusahaan Alat Berat. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengelolaan persediaan spare part pada perusahaan alat berat memegang peranan penting dalam menjamin kelancaran kegiatan pemeliharaan dan operasional alat. Namun, perusahaan masih menghadapi permasalahan berupa stockout, overstock dan fluktuasi permintaan yang menyebabkan tingginya biaya persediaan serta menurunnya tingkat pelayanan. Berdasarkan data perusahaan, service level mengalami penurunan dari 86% pada kuartal II tahun 2024 menjadi 85% pada kuartal II tahun 2025, sehingga diperlukan kebijakan pengendalian persediaan yang lebih efektif. Penelitian ini bertujuan menerapkan strategi Hybrid Inventory Management yang mengintegrasikan klasifikasi hybrid XYZ–FSN, Economic Order Quantity (EOQ), Safety Stock, Reorder Point (ROP) dan simulasi Monte Carlo untuk menentukan kebijakan persediaan yang optimal berdasarkan karakteristik permintaan spare part. Hasil penelitian menunjukkan bahwa strategi hybrid mampu menghasilkan kebijakan persediaan yang lebih adaptif melalui validasi nilai ROP menggunakan simulasi Monte Carlo. Pada kategori Preventive Maintenance, tiga dari empat kategori (75%) mengalami penyesuaian nilai ROP yang menghasilkan penurunan Total Inventory Cost, yaitu sebesar 13,92% pada kategori XF, 12,96% pada kategori YFdan 4,60% pada kategori ZS, sedangkan kategori ZN telah berada pada kondisi optimal sejak perhitungan deterministik. Sementara itu, seluruh kategori Corrective Maintenance menunjukkan bahwa nilai ROP hasil perhitungan awal telah optimal sehingga tidak memerlukan penyesuaian. Penerapan kebijakan persediaan hasil simulasi juga mampu mempertahankan tingkat pelayanan persediaan yang sangat tinggi dengan Fill Rate sebesar 99,94%–100% dan Cycle Service Level (CSL) sebesar 99,95%–100%. Hasil tersebut menunjukkan bahwa strategi hybrid tidak hanya mampu mengurangi biaya persediaan pada kategori yang memerlukan perbaikan, tetapi juga memvalidasi kebijakan persediaan yang telah optimal. Dengan demikian, integrasi klasifikasi XYZ–FSN dan simulasi Monte Carlo dapat menjadi pendekatan yang efektif, adaptifdan efisien dalam mendukung pengambilan keputusan pengendalian persediaan spare part pada perusahaan alat berat yang menghadapi ketidakpastian permintaan.
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Spare part inventory management plays a crucial role in ensuring the continuity of maintenance activities and the operational performance of heavy equipment companies. However, the company continues to face inventory-related challenges, including stockouts, overstocking and demand fluctuations, which lead to high inventory costs and declining service levels. According to the company's operational data, the service level decreased from 86% in the second quarter of 2024 to 85% in the second quarter of 2025, indicating the need for a more effective inventory control policy. This study aims to implement a Hybrid Inventory Management strategy by integrating the XYZ–FSN hybrid classification, Economic Order Quantity (EOQ), Safety Stock, Reorder Point (ROP) and Monte Carlo simulation to determine the optimal inventory policy based on the demand characteristics of spare parts. The results demonstrate that the hybrid strategy provides a more adaptive inventory policy by validating the ROP through Monte Carlo simulation. In the Preventive Maintenance category, three out of four categories (75%) required ROP adjustments, resulting in reductions in Total Inventory Cost of 13.92% for the XF category, 12.96% for the YF category and 4.60% for the ZS category, while the ZN category was already optimal based on the deterministic calculation and therefore required no adjustment. Meanwhile, all Corrective Maintenance categories showed that the initial ROP values were already optimal and did not require further modification. Furthermore, the inventory policies obtained from the simulation maintained a very high level of inventory performance, achieving a Fill Rate of 99.94%–100% and a Cycle Service Level (CSL) of 99.95%–100%. These findings indicate that the proposed hybrid strategy not only reduces inventory costs for categories requiring improvement but also validates inventory policies that are already optimal. Therefore, the integration of the XYZ–FSN hybrid classification and Monte Carlo simulation provides an effective, adaptive and efficient approach to supporting spare part inventory control decision-making in heavy equipment companies operating under demand uncertainty.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Hybrid Inventory Management, XYZ–FSN, Economic Order Quantity (EOQ), Reorder Point (ROP), Simulasi Monte Carlo, Pengendalian Persediaan, Spare Part.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD108 Classification (Theory. Method. Relation to other subjects ) H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP H Social Sciences > HD Industries. Land use. Labor > HD47 Costs H Social Sciences > HD Industries. Land use. Labor > HD55 Inventory control
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Dinda Maurissa Hartlan
Date Deposited:	12 Aug 2026 08:32
Last Modified:	12 Aug 2026 08:32
URI:	http://repository.its.ac.id/id/eprint/144330

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