Título:
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Rebalancing stocks among retail points of sale
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Autor/a:
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Orozco Martín, Sandra
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Heredia, F.-Javier (Francisco Javier); Buil, Roman |
Abstract:
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The aim of this Master's Degree Thesis is to propose a solution for rebalancing stocks among retail points of sale of one of the UK's leading retailers. Each day, a fleet of vehicles serves a set of locations with a variety of products. The fact that the vehicles follow pre-established routes leads to frequent lost sales among those points of sale that are later served. In this Thesis, an end-to-end solution is proposed to solve a variant of the VRP that takes into account both transportation and lost sales costs: - The dynamic and deterministic version of the problem is solved using exact formulations and metaheuristics (Genetic Algorithm and Greedy Randomized Adaptative Search Procedure). - A visualization tool is implemented combining R Shiny, AMPL and MySQL to show the behavior of the solution. |
Materia(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització -Programming (Mathematics) -VRP -Optimization -Dynamic -Programació (Matemàtica) -Classificació AMS::90 Operations research, mathematical programming::90C Mathematical programming |
Derechos:
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Tipo de documento:
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Trabajo fin de máster |
Editor:
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Universitat Politècnica de Catalunya; Universitat de Barcelona
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