Modelización Del Problema De Ruteo Del Inventario (Irp) Con Multiples Depósitos Con Algoritmos Geneticos
(Modeling The Inventory Routing Problem (IRP) With Multiple Depots With Genetic Algorithms)
Martín Darío Arango Serna (email@example.com)1, Julian Andres Zapata Cortes (firstname.lastname@example.org)1, Daniela Gutierrez Sepulveda (email@example.com)1
1Universidad Nacional de Colombia - Sede Medellín
This paper appears in: Revista IEEE América Latina
Publication Date: Dec. 2015
Volume: 13, Issue: 12
This paper presents the application of Inventory Routing Problem (IRP) for the distribution of goods between multiple clients (n) and multiple suppliers (m), which is based on the concept of collaboration between companies through vendor managed inventory (VMI). A review of the processes of distribution and routing of goods including the variable inventory and the IRP model with multiple warehouses are presented and it is proposed a genetic algorithm for its solution. The distribution of goods is a key process in the supply chain, since it plays a decisive role in the business logistics costs and in service level provided to customers. The current competitive environment has led companies to work together through partnerships of cooperation and collaboration processes, leading to find new forms of distribution involving multiple suppliers and multiple customers. The main results of the model and the proposed genetic algorithm, reductions in inventory costs and transportation to the problem studied are obtained.
Inventory Routing Problem, Genetic Algorithms, Costs of transport, Costs of inventory, Distribution of Goods
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