International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Jessi Febria1, Christine Dewi1,2, Evangs Mailoa1*

1 Faculty of Information Technology, Satya Wacana Christian University, Central Java, Indonesia
2 Department of Information Management, Chaoyang University of Technology, Taiwan, ROC


 

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ABSTRACT


Vaccines are the solution that is currently underway to tackle COVID-19. In this paper, vaccine distribution for hospitals in Central Java is developed. The problem case in this paper is classified as a Capacitated Vehicle Routing Problem (CVRP). The method proposed is using an initial route that follows the cluster-first route-second method (CFRS). The same size K-means is used for the clustering phase and the Greedy algorithm is used for the routing phase. The result of the initial route is a clustered route for each vehicle with a balanced capacity. Then, each cluster was re-optimized using metaheuristics Guided Local Search from Google OR-tools. Our experiment results have proven that using the initial route has the effect of reducing runtime by 97.37% - 99.17% when compared to without the initial route. This is because using initial routes with the same size K-means means breaking the problem into parts, then using the Greedy algorithm can reduce the number of possible routes. However, the total distance increased by 8.22% - 16.69% because no cluster member is allowed to move to another cluster.


Keywords: Capacitated vehicle routing problem, Vaccine distribution, K-means.


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ARTICLE INFORMATION


Received: 2021-04-20
Revised: 2021-08-10
Accepted: 2021-09-07
Available Online: 2021-12-01


Cite this article:

Febria, J., Dewi, C., Mailoa, E. Optimization of capacitated vehicle routing problem using initial route with same size K-means and greedy algorithm for vaccines distribution. International Journal of Applied Science and Engineering, 18, 2021103. https://doi.org/10.6703/IJASE.202112_18(6).002

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.