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• W3048146246 abstract "The design of an integrated network with decisions about tactical transportation and strategic locations is complicated and challenging. In addition to the need to consider cost issues, the consumers’ preferences will also have a significant impact on the resulting network. We propose an integrated transportation and location optimization model for designing logistic networks. Our model uses a hybrid iterative heuristic based on a genetic algorithm and a constrained multinomial logit, which includes consumers’ preferences and quality of service variables. Our results show relevant differences when considering, along with network costs, parameters related to the consumers: travel distance, congestion, waiting time, and service time." @default.
• W3048146246 created "2020-08-13" @default.
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• W3048146246 date "2021-01-01" @default.
• W3048146246 modified "2023-10-18" @default.
• W3048146246 title "Design of a location and transportation optimization model including quality of service using constrained multinomial logit" @default.
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• W3048146246 doi "https://doi.org/10.1016/j.apm.2020.07.054" @default.
• W3048146246 hasPublicationYear "2021" @default.
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