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Input Data of a linear programming model for the e-grocery order picking and delivery problem

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Input Data of a linear programming model for the e-grocery order picking and delivery problem

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Vazquez-Noguerol, M.; Poler Escoto, R.; Comesaña Benavides, JA.; Prado Prado, JC. (2020). Input Data of a linear programming model for the e-grocery order picking and delivery problem. Universitat Politècnica de València. https://doi.org/10.4995/Dataset/10251/148730

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Título: Input Data of a linear programming model for the e-grocery order picking and delivery problem
Autor: Vazquez-Noguerol, Mar Poler Escoto, Raúl Comesaña Benavides, José Antonio Prado Prado, Jose Carlos
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
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Resumen:
The dataset contains the input data that has been entered into the mathematical model to develop the case study. The data is provided by the company and the values have been structured according to the indices defined in ...[+]
Palabras clave: Mixed Integer Linear Programming (MILP) , E-commerce , E-grocery , Omni-channel retailing , Order fulfillment , Optimisation
Derechos de uso: Reconocimiento (by)
DOI: 10.4995/Dataset/10251/148730
Editorial:
Universitat Politècnica de València
Descripción: The dataset contains the input data that has been entered into the mathematical model to develop the case study. The data is provided by the company and the values have been structured according to the indices defined in the model. The indice "I" represents stores, the indice "J" represents time windows and the indice "K" represents online orders.
Tipo: Dataset

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