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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148730

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Title: Input Data of a linear programming model for the e-grocery order picking and delivery problem
Author: Vazquez-Noguerol, Mar Poler Escoto, Raúl Comesaña Benavides, José Antonio Prado Prado, Jose Carlos
UPV Unit: Centro de Investigación en Gestión e Ingeniería de Producción
Issued date:
Abstract:
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 ...[+]
Subjects: MILP , e-commerce , e-grocery , omni-channel retailing , order fulfilment , Optimisation
Copyrigths: Reconocimiento (by)
DOI: 10.4995/Dataset/10251/148730
Publisher:
Universitat Politècnica de València
Description: 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.
Type: Dataset

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