Development of A Simulation Model for The Shipping Planning System and Storage Capacity for Bulk Materials

Authors

  • Lery Alfriany Salo Fakultas Teknik, Universitas Kristen Indonesia Toraja, Indonesia

DOI:

https://doi.org/10.59188/eduvest.v5i2.50897

Keywords:

Bulk Material, Simulation, Shipment Planning, Storage Capacity, Uncertainty

Abstract

Leveraging maritime transport for bulk material shipments is a common approach in supply chain cost optimization efforts. However, the operational aspects of this shipping method are characterized by limited visibility and high levels of uncertainty. This condition is negatively correlated with the company's ability to meet established service level standards, ultimately leading to a decline in consumer trust. This research develops a simulation model to evaluate three scenarios aimed at improving service level. The three factors evaluated are optimization of port operating hours, implementation of a reorder point system, and increasing ship capacity. By implementing a combination of these strategies, the existing distribution system can be significantly improved. The results of this study indicate that implementing a combination of these scenarios can substantially improve the performance of the existing system. The most influential factor is the implementation of a reorder point (Factor 2), which results in an increase of 13.80%. The factor combination that yields the highest service level is scenario number 10, which achieves a service level of 92.36%.

References

Curling, T. A. (2016). USMC inventory control using optimization modeling and discrete event simulation. Monterey, California: Naval Postgraduate School.

Dong, C., & Transchel, S. (2020). A dual sourcing inventory model for modal split transport: Structural properties and optimal solution. European Journal of Operational Research, 283(3), 883–900.

Engebrethsen, E., & Dauzère-Pérès, S. (2019). Transportation mode selection in inventory models: A literature review. European Journal of Operational Research, 279(1), 1–25.

Isnantoyo, F. A. (2016). Model Transportasi Laut Untuk Mendukung Manajemen Rantai Pasok: Studi Kasus Komoditas Ayam Beku Dari Surabaya Ke Indonesia Timur. Institut Teknologi Sepuluh Nopember.

Law, A. M., Kelton, W. D., & Kelton, W. D. (2000). Simulation modeling and analysis (Vol. 3). Mcgraw-hill New York.

Mosca, A., Vidyarthi, N., & Satir, A. (2019). Integrated transportation–inventory models: A review. Operations Research Perspectives, 6, 100101.

Oumer, A., Atnaw, S. M., Cheng, J. K., & Singh, L. (2016). Improving energy efficiency for the vehicle assembly industry: a discrete event simulation approach. IOP Conference Series: Materials Science and Engineering, 160(1), 12069.

Pradana, A., Marikena, N., & Hilmy, M. F. (2023). Penerapan Metode Transportasi Dalam Optimasi Biaya Pengiriman Komponen Mesin Kelapa Sawit Pada CV. Adi Jaya Teknik. Prosiding CORISINDO 2023.

Riskadayanti, O., & Hisjam, M. (2019). Discrete-event simulation of a production process for increasing the efficiency of a newspaper production. IOP Conference Series: Materials Science and Engineering, 495(1), 12026.

Salo, L. A. (2020). Model Simulasi Perencanaan Pengiriman Dan Kapasitas Penyimpanan Untuk Bahan Baku Gandum. Institut Teknologi Sepuluh Nopember.

Salo, L. A. (2021). Model Simulasi Perencanaan Pengiriman Bahan Baku Tepung Terigu Untuk Meningkatkan Service Level. Prosiding Seminar Nasional Tahunan Teknik Mesin UKI Toraja 2021.

Salo, L. A., & Vanany, I. (2021). A simulation model of shipment planning and storage capacity for wheat material. IOP Conference Series: Materials Science and Engineering, 1034(1), 12119.

Siswanto, N., & Wahyuninngsih, A. T. (2021). Discrete event simulation approach for container terminal loading and unloading productivity evaluation. 11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021, 1181.

Troncoso, A., Sanchez, A., & Gonzalez, J. (2020). Discrete Events Simulation Method for Analyze Cycle Time: A Case Study in the Plastics Industry Sector. IOP Conference Series: Materials Science and Engineering, 844(1), 12063.

Woo, S.-H., Kim, S.-N., Kwak, D.-W., Pettit, S., & Beresford, A. (2018). Multimodal route choice in maritime transportation: the case of Korean auto-parts exporters. Maritime Policy & Management, 45(1), 19–33.

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Published

2025-02-20

How to Cite

Salo, L. A. (2025). Development of A Simulation Model for The Shipping Planning System and Storage Capacity for Bulk Materials. Eduvest - Journal of Universal Studies, 5(2), 2214–2224. https://doi.org/10.59188/eduvest.v5i2.50897