Penentuan Kebijakan Parameter Inventory Sparepart Pada Bus Kota Surabaya

Anthony, Noel (2026) Penentuan Kebijakan Parameter Inventory Sparepart Pada Bus Kota Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Mengelola persediaan spare part dengan dampak kritikalitas tinggi pada operasional armada bus kota sangatlah penting, dikarenakan ketidaksediaan spare part saat dibutuhkan, akan menimbulkan downtime yang menimbulkan kerugian untuk perusahaan, Penelitian ini bertujuan untuk menentukan kebijakan parameter persediaan untuk spare part yang bersifat kritis. Dari klasifikasi ABC-VED Matrix, ditemukan terdapat 10 Spare Part yang termasuk kategori AV, BV, CV dan memiliki data permintaan historis. 10 Spare part diproses lebih lanjut menggunakan Min-Max Method, dimana didapatkan parameter awal dari kebijakan persediaan untuk setiap suku cadang, dan parameter ini selanjutnya disimulasikan menggunakan simulasi Monte Carlo. Hasil simulasi menunjukkan bahwa sebagian besar spare part memiliki tingkat stockout yang rendah bahkan mencapai 0%, sehingga mampu menjaga kontinuitas operasional armada. Namun terdapat dua spare part, yaitu Rod-Self Adjusting Leveling Valve dan Ban Luar Giti 295/80R22.5 GSR225, masih menunjukkan tingkat stockout masing-masing sebesar 21,4% dan 16,7% yang menyebabkan munculnya downtime cost. Evaluasi terhadap hasil simulasi dilakukan dengan meningkatkan nilai Max Stock masing-masing sebesar satu unit. Perbaikan berhasil menghilangkan kejadian stockout pada kedua spare part dengan konsekuensi peningkatan holding cost yang relatif minimum. Penelitian menunjukkan bahwa kombinasi metode ABC-VED Matrix, Min-Max, dan simulasi Monte Carlo mampu menghasilkan kebijakan persediaan yang efektif dalam mengidentifikasi spare part kritis, mengevaluasi performa parameter persediaan, serta meminimalkan risiko downtime armada melalui penyesuaian parameter persediaan yang tepat
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Managing the inventory of spare parts with high operational criticality is essential in urban bus operations, as the unavailability of critical spare parts when needed may result in vehicle downtime, leading to financial losses for the company. This study aims to determine appropriate inventory policy parameters for critical spare parts. Based on the ABC–VED Matrix classification, ten spare parts categorized as AV, BV, and CV with available historical demand data were selected for further analysis. These spare parts were analyzed using the Min–Max method to determine the initial inventory policy parameters for each item. The resulting parameters were subsequently evaluated through Monte Carlo simulation. The simulation results indicate that most spare parts achieved low stockout rates, with several items experiencing zero stockouts, thereby ensuring the continuity of fleet operations. However, two spare parts, namely the Rod-Self Adjusting Leveling Valve and the Giti 295/80R22.5 GSR225 Tire, exhibited stockout rates of 21.4% and 16.7%, respectively, resulting in downtime costs. To address this issue, the maximum stock level of each item was increased by one unit. The proposed adjustment successfully eliminated stockouts for both spare parts, with only a relatively small increase in holding costs. The findings demonstrate that the integration of the ABC–VED Matrix, the Min–Max method, and Monte Carlo simulation provides an effective inventory policy for identifying critical spare parts, evaluating inventory performance, and minimizing the risk of fleet downtime through appropriate inventory parameter adjustments.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	ABC Analysis, Metode Min-Max, Pengelolaan Persediaan Suku Cadang, Simulasi Monte Carlo, VED Analysis, ABC Analysis, Spare Parts Inventory Management, MinMax Method, Monte Carlo Simulation, Spare Parts Inventory Management, VED Analysis
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD55 Inventory control
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Noel Anthony
Date Deposited:	31 Jul 2026 01:04
Last Modified:	31 Jul 2026 01:04
URI:	http://repository.its.ac.id/id/eprint/140104

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