Model Simulasi Hibrida untuk Koordinasi Logistik Kemanusiaan pada Bencana Banjir
DOI:
https://doi.org/10.30587/matrik.v26i2.10904Keywords:
Agent-Based, Humanitarian Logistic, Hybrid Simulation, System Dynamic, Supply Chain CoordinationAbstract
Efektivitas koordinasi antaraktor dalam logistik kemanusiaan menjadi tantangan utama, terutama pada situasi darurat seperti bencana alam. Kompleksitas sistem distribusi bantuan sering kali menimbulkan konflik dan pemborosan sumber daya apabila tidak dikelola dengan baik. Sebagian besar organisasi kemanusiaan masih berfokus pada pemetaan risiko banjir dan pemodelan aset secara terpisah tanpa analisis koordinasi yang menyeluruh. Penelitian ini bertujuan menilai efektivitas koordinasi antaraktor melalui simulasi ekspedisi pascabanjir dengan mengintegrasikan pendekatan Agent-Based Simulation (ABS) dan System Dynamics (SD). Integrasi kedua metode ini menggabungkan pendekatan bottom-up dan top-down untuk membentuk model hibrida yang memungkinkan pertukaran informasi antar subsistem. Hasil simulasi menunjukkan bahwa model hibrida ABM–SD dapat meningkatkan efisiensi distribusi bantuan, mempercepat waktu tanggap, mengurangi kelebihan stok di pusat distribusi, serta menekan tingkat penderitaan korban terdampak bencana.
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[1] P. Kumar Tarei, T. Manohar Gumte, R. Patnaik and S. Oktari, "Analysing Barriers to Humanitarian Logistics for Distributing Relief Aid in Pre- and Post-Disaster Situations," International Journal of Disaster Risk Reduction, vol. 104, p. 104388, 2024.
[2] N. Sharmile, I. Nuamah, L. Davis, F. Samanlioglu, S. Jiang and C. Crain, "Predicting and Optimizing the Fair Allocation of Donations in hunger reliefsupply chains," International Journal of Forecasting, vol. 41, no. 1, pp. 31-50, 2025.
[3] B. Burcu, M. Beamon B, K. Caroline, M. Kyle M and R. Magaly, "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, vol. 126, no. 1, pp. 22-34, 2010.
[4] Z. Rongtian, W. Daoping, G. Yong, Z. Mo, Z. Die and C. Maris, "Cascade effects of global supply chains induced by regional conflicts increase global inequality," Resources, Conservation and Recycling, vol. 209, p. 107740, 2024.
[5] M. Z. Tadjoeddin, A. Yumna, S. E. Gultom and M. F. Rakhmadi, "Inequality and violent conflict: new evidence from selected provinces in Post-Soeharto Indonesia," Journal of the Asia Pacific Economy, vol. 26, no. 3, pp. 552-573, 2021.
[6] C. C. Krejci, "Hybrid simulation modeling for humanitarian relief chain coordination," Journal of Humanitarian Logistics and Supply Chain Management, vol. 5, no. 3, pp. 325-347, 2015.
[7] F. Alidoost, N. Mustafee, T. Monks and A. Harper, "Simulation in healthcare supply chains with perishable products: a scoping review," Journal of the Operational Research Society, vol. 66, no. 4, 2025.
[8] S. Nature, Springer Proceedings in Business and Economics, Cham, Switzerland: Springer.
[9] J. Reyes, J. Mula and M. Diaz-Madroñero, "Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0," International Journal of Production Research, vol. 62, no. 17, pp. 6251-6275, 2024.
[10] G. Wallentin and C. Neuwirth, "Dynamic hybrid modelling: Switching between AB and SD designs of a predator-prey model," Ecological Modelling, vol. 345, pp. 165-175, 2017.
[11] H. Liao, J. Holguín Veras and O. Calderón, "Comparative analysis of the performance of humanitarian logistic structures using agent based simulation," Socio Economic Planning Sciences, vol. 90, 2023.
[12] F. Nasirzadeh, M. Khanzadi and M. Mir, "A hybrid simulation framework for modelling construction projects using agent-based modelling and system dynamics: an application to model construction workers’ safety behavior," International Journal of Construction Management, vol. 18, no. 2, pp. 132-143, 2018.
[13] S. Hwang, S. Ahn and S. H. Lee, "Agent-embedded system dynamics (aeSD) modelling approach for analysing worker policies: a research case on construction worker absenteeism," Construction Innovation, vol. 21, no. 3, pp. 379-397, 2021.
[14] L. K. N. Nguyen, S. Howick and I. Megiddo, "A framework for conceptualising hybrid system dynamics and agent-based simulation models," European Journal of Operational Research, vol. 315, no. 3, pp. 1153-1166, 2024.
[15] S. P. Langarudi, B. B. R. Paul Sabie and A. G. Fernald, "A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context," Modelling, vol. 2, no. 2, pp. 224-239, 2021.
[16] J. Block, "Hybrid Agent-Based Modeling (HABM)—A Framework for Combining Agent-Based Modeling and Simulation, Discrete Event Simulation, and System Dynamics," in Proceedings of the 2018 Winter Simulation Conference, Cham, Springer, 2018, p. 603–608.
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