Optimasi Cycle time dan Kapasitas Armada Transportasi Batubara Sungai Menggunakan Discrete Event Simulation

Rivaldi, Rivaldi (2026) Optimasi Cycle time dan Kapasitas Armada Transportasi Batubara Sungai Menggunakan Discrete Event Simulation. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6032242020-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (10MB) | Request a copy

Abstract

Transportasi batubara jalur sungai menghadapi inefisiensi akibat tingginya variabilitas cycle time dan overcapacity armada tongkang. Penelitian ini bertujuan mengoptimalkan waktu siklus dan kapasitas armada menggunakan Discrete Event Simulation (DES) melalui perangkat lunak FlexSim. Sistem operasional dari Port of Loading (POL) menuju Ship-to-Ship Terminal (STS) dimodelkan secara stokastik selama satu tahun (8.760 jam) dengan mempertimbangkan fluktuasi pasang surut air (tidal window). Validasi model menggunakan uji Confidence Interval 95% pada Minitab menunjukkan rata-rata throughput aktual lapangan (141,7 trip/bulan) berada di dalam rentang simulasi [129,35; 148,31], sehingga model dinyatakan valid. Hasil penelitian menunjukkan penerapan skenario penjadwalan prediktif secara mandiri tidak efektif meningkatkan produksi secara signifikan (P-Value = 0,548). Optimasi terbaik dicapai pada Skenario 3, yaitu integrasi penjadwalan prediktif dengan pemangkasan 50% armada (fleet right-sizing) dan peningkatan laju fasilitas pelabuhan (750–1.200 TPH). Intervensi ini berhasil mereduksi rata-rata cycle time sebesar 51% (dari 157,7 jam menjadi 76,3 jam) serta mendongkrak utilisasi produktif tiap armada dari 55,5 trip menjadi 114,8 trip per tahun. Skenario 15 unit armada mampu menghasilkan throughput sebesar 1.722 trip, setara secara statistik dengan 30 unit armada eksisting (P-Value = 0,507). Kebijakan perampingan ini mereduksi Harga Pokok Jasa (HPJ) dari Rp48.707/MT menjadi Rp27.874/MT, memberikan potensi penghematan biaya operasional sebesar Rp41,4 Miliar per tahun.
=======================================================================================================================================
River coal transportation faces inefficiencies due to high cycle time variability and barge fleet overcapacity. This study aims to optimize cycle time and fleet capacity using Discrete Event Simulation (DES) via FlexSim software. The operational system from the Port of Loading (POL) to the Ship-to-Ship Terminal (STS) was modeled stochastically for one year (8,760 hours), incorporating water level fluctuations (tidal windows). Model validation using a 95% Confidence Interval in Minitab showed that the historical field throughput (141.7 trips/month) falls within the simulation range of [129.35; 148.31], confirming model validity.The results indicate that implementing a predictive dispatching scenario independently is ineffective in significantly increasing production (P-Value = 0.548). The optimal performance is achieved in Scenario 3, which integrates predictive dispatching with a 50% fleet reduction (fleet right-sizing) and an upgrade in port facility handling rates (750–1,200 TPH). This intervention successfully reduces the average cycle time by 51% (from 157.7 hours to 76.3 hours) and increases productive fleet utilization from 55.5 trips to 114.8 trips per vessel per year. The 15-unit fleet scenario generates a total throughput of 1,722 trips, which is statistically equivalent to the baseline 30-unit fleet (P-Value = 0.507). This downsizing policy reduces the cost of service from Rp48,707/MT to Rp27,874/MT, yielding a potential operational expense savings of Rp41.4 Billion per year.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Discrete Event Simulation, FlexSim, Cycle time, Throughput, Fleet Right-Sizing.
Subjects:	V Naval Science > VK > VK570 Optimum ship routing. V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM464 Towboats. Tugboats
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 78201-System And Technology Innovation
Depositing User:	Rivaldi Rivaldi
Date Deposited:	09 Jul 2026 08:39
Last Modified:	09 Jul 2026 08:39
URI:	http://repository.its.ac.id/id/eprint/134603

Actions (login required)

View Item