Modelo Multiobjetivo para la Optimización Simultanea de los Costos de Transporte, Inventario y el Nivel de Servicio em la Distribución de Mercancias (Multiobjective Model For The Simultaneous Optimization Of Transportation Costs, Inventory Costs And Service Level In Goods Distribution)

Martin Dario Arango Serna (, Julian Andres Zapata Cortes (

1Universidad Nacional de Colombia - Sede Medellín

This paper appears in: Revista IEEE América Latina

Publication Date: Jan. 2017
Volume: 15,   Issue: 1 
ISSN: 1548-0992

This paper presents a model formulation for the multiobjetive optimization of transportation costs, inventory costs and service level for the goods distribution process. The multiobjective model is composed by two objective functions, in which the transportation and inventory cost are optimized using the Inventory Routing Problem (IRP) and the service level is optimized using the number of accomplished time windows for the vehicles in the routing process. The model is solved using the Nondominated Sorting Genetic Algorithm II (NSGAII), implementing a novel representation of the chromosome, which allows assigning inventory and routes simultaneously. The algorithm allows calculating the Pareto Frontier for the analyzed distribution case, observing good qualities in the solution, compared with what is found in scientific literature.

Index Terms:
Multi objective optimization, Nondominated Sorting Genetic Algorithm II, Inventory Routing Problem, Service level, Costs of transport, Costs of inventory, Distribution of Goods   

Documents that cite this document
This function is not implemented yet.

[PDF Full-Text (446)]