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Variants of VRP to Optimize Logistics Management Problems

Variants of VRP to Optimize Logistics Management Problems

Claudia Gómez Santillán, Laura Cruz Reyes, María Lucila Morales Rodríguez, Juan Javier González Barbosa, Oscar Castillo López, Gilberto Rivera Zarate, Paula Hernández
Copyright: © 2012 |Pages: 31
ISBN13: 9781466602977|ISBN10: 146660297X|EISBN13: 9781466602984
DOI: 10.4018/978-1-4666-0297-7.ch008
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MLA

Santillán, Claudia Gómez, et al. "Variants of VRP to Optimize Logistics Management Problems." Logistics Management and Optimization through Hybrid Artificial Intelligence Systems, edited by Carlos Alberto Ochoa Ortiz Zezzatti, et al., IGI Global, 2012, pp. 207-237. https://doi.org/10.4018/978-1-4666-0297-7.ch008

APA

Santillán, C. G., Reyes, L. C., Rodríguez, M. L., Barbosa, J. J., López, O. C., Zarate, G. R., & Hernández, P. (2012). Variants of VRP to Optimize Logistics Management Problems. In C. Ortiz Zezzatti, C. Chira, A. Hernandez, & M. Basurto (Eds.), Logistics Management and Optimization through Hybrid Artificial Intelligence Systems (pp. 207-237). IGI Global. https://doi.org/10.4018/978-1-4666-0297-7.ch008

Chicago

Santillán, Claudia Gómez, et al. "Variants of VRP to Optimize Logistics Management Problems." In Logistics Management and Optimization through Hybrid Artificial Intelligence Systems, edited by Carlos Alberto Ochoa Ortiz Zezzatti, et al., 207-237. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0297-7.ch008

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Abstract

The Vehicle Routing Problem (VRP) is a key to the efficient transportation management and supply-chain coordination. VRP research has often been too focused on idealized models with non-realistic assumptions for practical applications. Nowadays the evolution of methodologies allows that the classical problems could be used to solve VRP problems of real life. The evolution of methodologies allows the creation of variants of the VRP which were considered too difficult to handle by their variety of possible restrictions. A VRP problem that includes the addition of restrictions, which represent the variants in the problem, is called Rich VRP. This work presents an algorithm to optimize the transportation management. The authors are including a case of study which solves a real routing problem applied to the distribution of bottled products. The proposed algorithm shows a saving in quantity of vehicles and reduces the operation costs of the company.

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