Simulasi Sistem Antrian Inbound Outbound Truk Kontainer untuk Meminimasi Waktu Pelayanan
DOI:
https://doi.org/10.31004/jutin.v9i1.52280Keywords:
Queueing System, Arena Simulation, Service Time, Inbound–Outbound, Container DepotAbstract
The increasing activity of container handling in depots requires improvements in service efficiency, particularly in inbound and outbound processes that often experience long truck queues. PT Seacon Bintang Sejahtera Surabaya faces delays that exceed its Key Performance Indicator (KPI) of 35 minutes. This study aims to analyze the performance of the queueing system and propose improvements to minimize service time using Arena simulation software. Primary data were obtained through direct observation, including truck arrival times, service start times, and service durations. The simulation model was validated to match real operational conditions, followed by testing several improvement scenarios such as additional servers and optimized service flow. The simulation results indicate that the proposed scenarios significantly reduce waiting times compared to the existing system, providing a basis for improving operational performance in container depot servicesReferences
Erduandi, & Sarifuddin. (2023). Manajemen Operasional Maintenance dan Repair Depo Peti Kemas Kosong: Studi Kasus Pada PT. Intercon Terminal Indonesia. Journal of Management, Entrepreneur and Cooperative, 2(1), 28–33. https://doi.org/10.56869/jmec.v2i1.433
Hanrizaldi Bagus Satrio Langgeng, Hilyatun Nuha, & Hery Murnawan. (2022). Analisis Sistem Antrian Pelayanan Bongkar Muat Kapal Tongkang Batu Bara pada Mother Vessel untuk Meminimalisir Waktu Bongkar Muat pada PT. Handil Bhakti Persada. Jurnal Teknik Industri, 12(2), 133–143. https://doi.org/10.25105/jti.v12i2.15638
Kasus, S., & Lautan, G. (2024). Analisis Kendala Pelayanan Jasa Bongkar Muat Peti Kemas Terhadap Kelancaran Operasional pada Perusahaan Ekspedisi Muatan Kapal Laut Program Studi Diploma IV Transportasi Laut , Politeknik Pelayaran Surabaya , Indonesia merupakan perairan sehingga digunaka. 3(3).
Linarti, U. (2020). Simulasi Komputer Dengan Software Arena 14.0. Panduan Praktikum, 1–66.
Navillah, M. (2018). Analisis Keseimbangan Lintasan Untuk Meminimasi Bottleneck Serta Meningkatkan Kapasitas Produksi Dan Alternatif Usulan Perbaikan Lini Produksi Menggunakan Pendekatan Simulasi(Studi Kasus:Pt. Ricry). Journal of Chemical Information and Modeling, 53(9), 1689–1699.
Pasirulloh, M. A., & Suryani, E. (2017). Pemodelan Dan Simulasi Sistem Industri Manufaktur Menggunakan Metode Simulasi Hybrid (Studi Kasus: PT. Kelola Mina Laut). Jurnal Teknik ITS, 6(2). https://doi.org/10.12962/j23373539.v6i2.23141
Retnowo, M., & Waluyo, A. F. (2022). Penerapan Supply Chain Management Untuk Mengoptimalkan Produksi Berdasarkan Persediaan Barang. Jurnal Information System & Artificlal Intelligence, 2(2), 157–164.
Sahara, S., & Pertiwi, D. C. (2023). Analisis Pengelolaan Persediaan Dan Distribusi Container Di Depo Container. Social Humanities, 1(12), 38–51.
Wiratno, N. S. E. L. S. E. (2017). Simulasi Sistem Diskrit.
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