Examinando por browse.metadata.type "info:eu- repo/semantics/bookPart"
  • Publicación
    An Integrated Model for Locating-Routing in the Goods Delivery and Simultaneous Pickup in the Urban Context
    (Springer Nature, 2021)
    Rodríguez Melquiades, José Antonio
    ;
    Lujan Segura, Edwar
    ;
    Gutiérrez Segura, Flabio Alfonso
    Bibliographic research on facilities location and vehicle routing shows interest in the academic community and contributes to the welfare in cities. In this sense a Mixed Integer linear new Programming model is presented to optimise cost by integrating location and routing. This process is about delivering and collecting goods and wastes at the same time in order to maintain urban sustainability. It also determines the consumption of the used fuel and measures the C02 generation in the routing. This model was implemented by GLPK which obtained results in small simulated scenarios. For sceneries between 21 and 25 customers, optimal solutions were not found in 7200 s despite the timeout.
  • Publicación
    Sustainable Optimization Model for Routing the Process of Distribution of Products, Pickup and Transport of Waste in the Context of Urban Logistics
    (Springer Nature, 2021)
    Rodríguez Melquiades, José Antonio
    ;
    Lujan Segura, Edwar
    ;
    Gutiérrez Segura, Flabio Alfonso
    Literature research urban logistics has shown us the growing interest in sustainable supply chain serving the population, which must necessarily be based on location and routing of vehicles in order, using the integer linear programming methodology, to model these cases. This study presents a sustainable four-level bi-objective model to optimize economic costs and measure the amount of carbon dioxide generated by the transportation process. The process consists of a provider that supplies a distribution center or warehouse, which also serves a group of facilities located by a group of customers who expect to receive attention to their two orders, one for the purchase of the acquired product and the other for the delivery of the waste generated. Finally, the waste is transported to specialized centers. The model implemented with GLPK obtained optimal results for small and medium-sized instances. For scenarios with more than 40 customers, it was not possible to find solutions, as the computational processing time limit was exceeded by 7 200 s, for these scenarios it is recommended to solve the model using metaheuristics.