Optimization Model for Relief Distribution After Flood Disaster

Authors

  • Perli Pujiana Magister of Mathematics, Universitas Sumatera Utara, Indonesia
  • Saib Suwilo Department of Mathematics, Universitas Sumatera Utara, Indonesia
  • Mardiningsih Department of Mathematics, Universitas Sumatera Utara, Indonesia

DOI:

10.33395/sinkron.v8i3.13769

Keywords:

Logistics distribution, Flood disaster, Multi Depot Vehicle Routing Problem, Integer Linear Programming.

Abstract

Logistics planning is critical and a key component in meeting initial emergency needs in the aftermath of a disaster. The rapid and efficient distribution of logistical aid becomes critically important. In such situations, the construction of temporary depots in strategic locations and the determination of optimal distribution routes play an important role in ensuring that logistics aid can be distributed to the affected areas evenly. In this study, the Multi Depot Vehicle Routing Problem (MDVRP) is used which aims to minimize the total cost of distributing logistics aid which includes shipping costs, vehicle usage costs, temporary depot construction costs, and vehicle travel costs from distribution centers to temporary depots, while still meeting constraints such as logistics aid demand, vehicle capacity, area visits, maximum mileage, and depot construction. This model uses two types of vehicles where vehicle  is tasked with carrying logistics aid from the distribution center to the temporary depot and vehicle  is tasked with delivering logistics aid directly to the point of demand.

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How to Cite

Pujiana, P., Suwilo, S., & Mardiningsih. (2024). Optimization Model for Relief Distribution After Flood Disaster. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(3), 1473-1479. https://doi.org/10.33395/sinkron.v8i3.13769

Issue

Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024

Section

Articles

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Copyright (c) 2024 Perli Pujiana, Saib Suwilo, Mardiningsih

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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