Model Manajemen Persediaan Spare Part Pada Alat Berat Pelabuhan Untuk Meningkatkan Availability

Mahardika, I Gede Widya (2025) Model Manajemen Persediaan Spare Part Pada Alat Berat Pelabuhan Untuk Meningkatkan Availability. Masters thesis, Intitut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini mengkaji permasalahan pada salah satu terminal petikemas di Indonesia yang menghadapi tantangan dalam pengelolaan suku cadang kritis yang berdampak pada operasional dan ketersediaan alat. Data operasional perusahaan menunjukkan tingkat availability alat straddle carrier hanya mencapai 69,33% pada tahun 2023, di bawah target KPI. Data historis menunjukkan bahwa sekitar 56% dari total downtime disebabkan oleh waktu menunggu ketersediaan suku cadang. Untuk mengatasi permasalahan tersebut, dikembangkan model optimasi manajemen persediaan berbasis continuous review (Q, r) yang mengintegrasikan variabel lead time dan ketidakpastian permintaan berdasarkan pola distribusi permintaan historis. Pengujian model ini dilakukan melalui simulasi Monte Carlo dengan mengaplikasikan berbagai skenario kebutuhan pada 10 jenis spare part yang dipilih berdasarkan tingkat kekritisannya. Performa model dievaluasi menggunakan tiga parameter utama, yaitu total inventory cost (TIC), service level, dan availability. Hasil validasi menunjukkan bahwa model mampu merepresentasikan kondisi aktual dengan perbedaan hanya 1,6% dari data nyata, yang masih berada dalam batas toleransi kesalahan 5%. Implementasi skenario perbaikan dengan modifikasi setup pemesanan pada interval tiga bulan menghasilkan optimasi signifikan berupa reduksi TIC sebesar 33%, peningkatan service level spare part sebesar 7,8% mencapai 95%, serta peningkatan availability alat sebesar 4,9% menjadi 75%.
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This research examines challenges faced by a container terminal in Indonesia in managing critical spare parts, which impact operations and equipment availability. Operational data from the company reveals that the availability rate of straddle carriers only reached 69.33% in 2023, falling below the KPI target. Historical data indicates that approximately 56% of total downtime was caused by delays in spare part availability. To address this issue, an optimization model for inventory management based on continuous review (Q, r) was developed, integrating lead time and demand uncertainty variables derived from historical demand distribution patterns. The model was tested through Monte Carlo simulations applied to various demand scenarios for 10 types of spare parts, selected based on their criticality. The model's performance was evaluated using three key parameters: total inventory cost (TIC), service level, and equipment availability. Validation results demonstrated that the model accurately represented actual conditions, with a deviation of only 1.6% from real-world data, well within the acceptable error margin of 5%. The implementation of improvement scenarios, involving modifications to ordering setups at three-month intervals, achieved significant optimization, including a 33% reduction in TIC, a 7.8% increase in spare parts service level to 95%, and a 4.9% improvement in equipment availability to 75%.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Spare Part, Manajemen Persediaan, Optimasi, Availability,
Subjects:	T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T57.8 Nonlinear programming. Support vector machine. Wavelets. Hidden Markov models.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	I Gede Widya Mahardika
Date Deposited:	30 Jan 2025 08:04
Last Modified:	30 Jan 2025 08:04
URI:	http://repository.its.ac.id/id/eprint/117176

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