Optimasi Sistem Distribusi Komoditas Perishable Berbasis Discrete-Event Simulation Untuk Mengurangi Product Waste: Studi Kasus Agroindustri Stroberi Ciwidey

Authors

  • Ibnu Habib Universitas Logistik dan Bisnis Internasional
  • Adang Haryaman Universitas Logistik dan Bisnis Internasional
  • Widia Asih Universitas Logistik dan Bisnis Internasional

DOI:

https://doi.org/10.69693/ijim.v4i3.1724

Keywords:

Simulasi Kejadian Diskrit, Optimasi Distribusi, Distribution Center, Anylogistix, Stroberi

Abstract

Stroberi merupakan komoditas hortikultura yang bersifat perishable sehingga memerlukan sistem distribusi yang efisien, namun jaringan distribusi di Kebun Stroberi Pak Asep Ciwidey masih belum optimal sehingga menyebabkan tingginya waktu pengiriman dan menurunkan efisiensi logistik serta kualitas produk. Penelitian ini bertujuan mengoptimalkan sistem distribusi stroberi di Kebun Stroberi Pak Asep Ciwidey melalui pemodelan jaringan distribusi berbasis Discrete-Event Simulation menggunakan AnyLogistix. Penelitian menggunakan pendekatan kuantitatif dengan metode pemodelan dan simulasi, memanfaatkan data primer yang diperoleh melalui observasi lapangan dan wawancara, serta data sekunder dari literatur dan dokumen pendukung. Analisis dilakukan dengan membandingkan kinerja jaringan distribusi pada kondisi awal dan skenario perbaikan melalui penambahan Distribution Center (DC) serta peningkatan kapasitas kendaraan. Hasil simulasi menunjukkan bahwa skenario perbaikan meningkatkan profit dari −USD 6.330,29 menjadi USD 21.453,92 dan menurunkan mean lead time dari 99,84 hari menjadi 71,27 hari, meskipun total biaya operasional meningkat. Temuan tersebut mengindikasikan bahwa penerapan jaringan distribusi multi-echelon berbasis DC mampu meningkatkan efisiensi logistik, mempercepat distribusi, dan memperbaiki kinerja ekonomi sistem. Dengan demikian, pendekatan simulasi menggunakan AnyLogistix efektif sebagai dasar pengambilan keputusan dalam optimasi jaringan distribusi komoditas hortikultura yang mudah rusak.

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References

Adorni, E., Rozhok, A., & Revetria, R. (2022). Didactic of teaching failure analysis and logistic planning software. 1–5.

Aljohani, K. (2023). Optimizing the distribution network of a bakery facility: A reduced travelled distance and food-waste minimization perspective. Sustainability, 15(4), 3654.

Allen, J. L., Brou, R. J., Wiggins, S., Dubrow, S., Ratwani, K., & Lerario, M. (2022). Assessment and feedback applications of rich picture methodology. United States Army Research Institute for the Behavioral and Social Sciences.

Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: A survey from an operational research perspective. OR Spectrum, 43(1), 1–58. https://doi.org/10.1007/s00291-020-00607-8

Iskandar, Y. A., Rachmawati, N. L., Kurniawan, A. C., Kurniawan, R. P., Sudiar, M. R., Ramadhan, D., & Widiyanti, A. (2023). Determining distribution center locations to optimize food supply chain integration (A case study of an agribusiness company in Indonesia). Majalah Ilmiah Bijak, 2(1), 1–13.

Ivanov, D. (2021). Supply chain viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research, 59(12), 3535–3552. https://doi.org/10.1080/00207543.2021.1890852

Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788.

Kumar, A., & Agrawal, S. (2023). Challenges and opportunities for agri-fresh food supply chain management in India. Computers and Electronics in Agriculture, 212, 108161.

Manzoor, S., Fayaz, U., Dar, A. H., Dash, K. K., Shams, R., Bashir, I., & Abdi, G. (2024a). Sustainable development goals through reducing food loss and food waste: A comprehensive review. Future Foods, 9, 100362.

Manzoor, S., Fayaz, U., Dar, A. H., Dash, K. K., Shams, R., Bashir, I., & Abdi, G. (2024b). Sustainable development goals through reducing food loss and food waste: A comprehensive review. Future Foods, 9, 100362.

Melly, S., Ernita, Y., Annisa, A., Marni, Y., Komala, R., Hendrita, V., & Jarlis, R. (2025). Manajemen rantai pasok agroindustri. Yayasan Tri Edukasi Ilmiah.

Queiroz, M. M., Fosso Wamba, S., Pereira, S. C. F., & Chiappetta Jabbour, C. J. (2023). The metaverse as a breakthrough for operations and supply chain management: Implications and call for action. International Journal of Operations & Production Management, 43(10), 1539–1553.

Sharafi, H., Alirezalu, A., Liu, S. Q., Karami, A., & Moradi, M. (2024). Postbiotics-enriched flaxseed mucilage coating: A solution to improving postharvest quality and shelf life of strawberry. International Journal of Biological Macromolecules, 265, 131398.

Steynberg, P., Goedhals-Gerber, L. L., & van Dyk, E. (2022). An analysis of the impact of logistics processes on the temperature profile of the beginning stages of a blueberry supply chain. Horticulturae, 8(12), 1191.

Vitorino, L., Costa, I. P., Terra, A. V., Medina, A. C., Gomes, C. F., & Santos, M. (2022). Analysis of food distribution network using Anylogistix computational tool. IFAC-PapersOnLine, 55(10), 2018–2023.

Vitorino, L., Silva, F. C., Gomes, C. F., Medina, A. C., & Santos, M. (2022). Simulation of the grape distribution network in the São Francisco Valley region: Anylogistix. Procedia Computer Science, 214, 1015–1022.

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Published

2026-07-23

How to Cite

Habib, I., Haryaman, A., & Asih, W. (2026). Optimasi Sistem Distribusi Komoditas Perishable Berbasis Discrete-Event Simulation Untuk Mengurangi Product Waste: Studi Kasus Agroindustri Stroberi Ciwidey. Indonesian Journal of Innovation Multidisipliner Research, 4(3), 4342–4355. https://doi.org/10.69693/ijim.v4i3.1724