Design of a location and transportation optimization model including quality of service using constrained multinomial logit

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dc.coverageDOI: 10.1016/j.apm.2020.07.054
dc.creatorLópez-Ospina, Héctor
dc.creatorAgudelo-Bernal, Ángela
dc.creatorReyes-Muñoz, Lina
dc.creatorZambrano-Rey, Gabriel
dc.creatorPérez, Juan
dc.date2021
dc.date.accessioned05-01-2026 18:11
dc.date.available05-01-2026 18:11
dc.description<p>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.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/99d5beaa-2019-4577-b833-b2c1c3611c77
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcevol.89 (2021) date: 2021-01-01 p.428-453
dc.subjectConstrained multinomial logit (CMNL)
dc.subjectDiscrete choice models
dc.subjectQuality of service
dc.subjectTransportation-Location model
dc.titleDesign of a location and transportation optimization model including quality of service using constrained multinomial logiteng
dc.typeArticleeng
dc.typeArtículospa
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