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Rizki Revianto Putera
Sepuluh Nopember Institute of Technology
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Evaluasi Kebijakan Pemesanan Material Menggunakan Metode Min–Max Inventory Dengan Kendala Kapasitas Gudang: Pendekatan Eksperimental : (Studi Kasus: PT PLN (Persero) UP3 Teluk Naga) Riska Riantini; Rizki Revianto Putera
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 3 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i3.1935

Abstract

Tingginya stockout, rendahnya fill rate, dan ketidakefisienan utilisasi gudang merupakan permasalahan utama dalam sistem logistik material PT PLN (Persero) UP3 Teluk Naga. Penelitian ini mengevaluasi kebijakan Min–Max Inventory berbasis kapasitas gudang dengan mengintegrasikan klasifikasi ABC, karakteristik permintaan ADI–CV², karakteristik fisik material, serta kapasitas tiga tipe gudang. Eksperimentasi numerik dilakukan menggunakan data pemakaian, pemesanan, lead time, dimensi material, dan kapasitas gudang periode 2022–2024 dalam 10 skenario kebijakan. Hasil penelitian menunjukkan bahwa Skenario 10, dengan target cycle service level sebesar 96% untuk kelas A, 94% untuk kelas B, dan 90% untuk kelas C, mampu menurunkan total inventory cost sebesar 26,19%, jumlah stockout sebesar 95,36%, dan frekuensi stockout sebesar 78,72%, serta meningkatkan fill rate dari 87,79% menjadi 98,85%. Pada kondisi persediaan maksimum sebagai worst-case scenario, utilisasi gudang tertutup dan semi terbuka masing-masing mencapai 99,92% dan 95,18%, sedangkan utilisasi gudang terbuka menurun dari 661,11% menjadi 56,34%. Hasil ini menunjukkan bahwa integrasi kebijakan persediaan, karakteristik permintaan, dan strategi penempatan material dapat meningkatkan kinerja persediaan meskipun dihadapkan pada keterbatasan kapasitas gudang.
Design of a Two-Phase Clustering–Routing Algorithm for Fuel Distribution to Diesel Power Plants (PLTDs) in the Raja Ampat Wario Gokmayado; Rizki Revianto Putera
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 3 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i3.2093

Abstract

Fuel distribution to Diesel Power Plants (PLTDs) in archipelagic regions faces significant logistical challenges due to dispersed demand locations, limited vessel capacity, and varying fuel consumption. In Raja Ampat Regency, the existing round-trip distribution system results in low vessel utilization and high transportation costs. This study proposes a two-phase optimization framework integrating the Clarke and Wright Savings Algorithm (CWSA) with inventory simulation and sensitivity analysis to improve distribution efficiency and ensure operational feasibility. Secondary data obtained from PT PLN (Persero) UP3 Sorong include monthly fuel demand, storage tank capacity, daily fuel consumption, vessel capacity, and inter-island distance matrices. The CWSA was applied to generate feasible distribution routes under vessel capacity constraints, while inventory simulation validated delivery schedules based on safety stock, storage capacity, and delivery intervals. The proposed approach reduced the total sailing distance from 6,147.14 to 2,680.30 nautical miles, representing a 56.4% reduction, increased average vessel utilization to 90.75%, and decreased operational distribution costs by Rp346,684,000 per planning period. Furthermore, inventory simulation confirmed continuous fuel availability above safety stock levels throughout the 30-day planning horizon. These results demonstrate that the proposed framework provides an effective decision-support tool for improving fuel distribution efficiency in remote archipelagic regions.
Co-Authors Riska Riantini Wario Gokmayado