Riantini, Riska (2026) Evaluasi Kebijakan Pemesanan Material Menggunakan Metode Min–Max Inventory Dengan Kendala Kapasitas Gudang: Pendekatan Eksperimental pada PT PLN (Persero) UP3 Teluk Naga. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Ketidakseimbangan antara ketersediaan dan kebutuhan material pada sistem logistik PT PLN (Persero) UP3 Teluk Naga menyebabkan stockout dan berdampak pada rendahnya service level serta inefisiensi pemanfaatan kapasitas gudang. Penelitian ini bertujuan mengevaluasi kebijakan pemesanan material berbasis Min–Max Inventory dengan integrasi kelas ABC-ADI-CV2 serta memasukkan kapasitas gudang sebagai kendala operasional. Pendekatan eksperimentasi digunakan melalui simulasi berbagai skenario kebijakan dengan memanfaatkan data pemesanan, pemakaian, lead time, dimensi material, dan kapasitas gudang pada periode 2022-2024. Kinerja skenario usulan dievaluasi dengan menggunakan indikator utilisasi gudang, biaya persediaan, jumlah dan frekuensi stockout, serta tingkat pemenuhan permintaan (fill rate). Hasil penelitian menunjukkan bahwa kebijakan usulan terpilih mampu meningkatkan service level menjadi 95% untuk material kelas A, B, dan C. Pada skema maximum inventory utilisasi gudang lebih efektif karena utilisasi gudang tertutup menjadi 98,69%, gudang semi terbuka 93,41%, utilisasi gudang terbuka 57,15%, dan menurunkan biaya persediaan sebesar 26,5%, sedangkan jumlah stockout turun 96,25%,serta fill rate meningkat 13,49%. Dengan demikian model usulan terbukti efektif dalam meningkatkan kinerja persediaan dan pemanfaatan kapasitas gudang secara simultan serta memberikan kontribusi dalam pengembangan kebijakan pemesanan berbasis Min-Max Inventory dengan kendala kapasitas gudang pada sistem persediaan multi-SKU.
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An imbalance between material availability and demand in the logistics system of PT PLN (Persero) UP3 Teluk Naga has resulted in stockouts, which subsequently reduce service levels and lead to inefficient warehouse capacity utilization. This study aims to evaluate a Min–Max Inventory-based material ordering policy by integrating ABC–ADI–CV² classification and incorporating warehouse capacity as an operational constraint. An experimental approach was adopted by simulating various policy scenarios using data on ordering, consumption, lead time, material dimensions, and warehouse capacity from 2022 to 2024. The performance of the proposed model was assessed using several indicators, namely warehouse utilization, inventory cost, stockout quantity and frequency, and demand fulfilment rate (fill rate). The results indicate that the selected proposed policy improves the service level to 95% for class A, B, and C materials. Under the maximum inventory condition, warehouse capacity utilization is higher: 98.69% for closed warehouses, 93.41% for semi-open warehouses, and 57.15% for open warehouses. Furthermore, the proposed policy reduces inventory cost by 26.5%, decreases stockout quantity by 96.25%, and increases the fill rate by 13.49%. These findings demonstrate that the proposed model effectively improves inventory performance and warehouse capacity utilization simultaneously. This study also contributes to the development of a capacity-constrained Min–Max Inventory ordering policy for multi-SKU inventory systems.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | ABC Analysis, ADI-CV2, Kapasitas Gudang, Min-Max Inventory, Stockout, ABC Analysis, ADI-CV2, Min–Max Inventory, Warehouse Capacity, Stockout |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD55 Inventory control |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Riska Riantini |
| Date Deposited: | 13 Jul 2026 07:13 |
| Last Modified: | 13 Jul 2026 07:13 |
| URI: | http://repository.its.ac.id/id/eprint/134779 |
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