IMPLEMENTASI NEAREST NEIGHBOUR DAN TABU SEARCH DALAM OPTIMASI RUTE PENDISTRIBUSIAN PRODUK

Vito Charlanda Prayoga, Novi Mardiana

Abstract


One of the crucial activities undertaken by companies to meet customer demands is distribution. Distribution involves several challenges, one of which is determining optimal vehicle routes. This research aims to determine effective and efficient product distribution routes. The Nearest Neighbour and Tabu Search methods are employed to address the distribution route problem. The research results indicate that using the Nearest Neighbour method saves 17.7 km, 388.75 minutes, and Rp 40,430.77 compared to the company's initial routes. Meanwhile, the Tabu Search method yields savings of 21.25 km, 412.1 minutes, and Rp 43,525.64 when compared to the initial company routes.

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References


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DOI: https://doi.org/10.32897/sobat.2023.5.0.3099

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Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM)
Universitas Sangga Buana
Bandung, Jawa Barat, Indonesia