Abstract
In distribution activities, travel time is influenced by several factors, such as vehicle conditions, traffic conditions and road conditions. Uncertain traffic conditions cause the travel time can not be defined with certainty (uncertain). If several variables are in a uncertain condition then a deterministic approach is not appropriate. Fuzzy approach, can be used to overcome uncertainty conditions. In this study, the optimal route for chicken egg delivery using the fuzzy Multiobjective Cyclical Inventory Routing Problem (FMOCIRP) model with time and cost is expressed by triangular fuzzy numbers. Model completion using Winqsb software. An optimal shipping route is obtained with a total cost of Rp 114,000 and a total delivery time of 132 minutes. The first optimal delivery route is distributor, retailer 1, retailer 2, retailer 3 and back to the distributor. The second route is distributor, retailer 5, retailer 4 and back to the distributor.
Highlights
travel time is influenced by several factors
Uncertain traffic conditions cause the travel time can not be defined with certainty
If several variables are in a uncertain condition then a deterministic approach is
Summary
Inventory Routing Problem (IRP) adalah permasalahan inventory dimana supplier bertanggung jawab untuk mengkoordinasi penambahan persediaan pengecer dan rute kendaraan dalam proses pendistribusian. Permasalahan IRP untuk distribusi produk yang perishable (mudah rusak) telah dibahas oleh (Azadeh et al 2017) dan (Hu, Toriello, and Dessouky 2018). Beberapa penelitian sebelumnya membahas permasalahan IRP dan CIRP dengan satu fungsi tujuan yaitu meminimumkan biaya distribusi. Model Multiobjective Green Cyclical Inventory Routing Problem (MOGCIRP) dengan mempertimbangkan biaya dan total emisi kendaraan sebagai fungsi tujuan diperkenalkan oleh (Rau, Daniel, and Agus 2018). Waktu tempuh dipengaruhi oleh beberapa faktor, seperti kondisi kendaraan, kondisi lalu lintas dan kondisi jalan. Penelitian ini mengimplementasikan model FMOCIRP pada distribusi telur ayam dengan biaya dan waktu dinyatakan dengan bilangan fuzzy. Model FMOCIRP merupakan pengembangan model IRP dan permasalahan multiobjektif yang telah dibahas pada penelitian (Rau et al 2018). Akan tetapi pada penelitian ini fungsi tujuan yaitu fungsi waktu dan fungsi biaya dinyatakan dengan TFN. Jarak titik i ke titik j kecepatan rata-rata kendaraan tingkat permintaan titik i
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