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Logistic Modeling of the Last Mile: Case Study Santiago, Chile

Juan Guillermo Urzúa-Morales (), Juan Pedro Sepulveda-Rojas (), Miguel Alfaro (), Guillermo Fuertes (), Rodrigo Ternero () and Manuel Vargas ()
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Juan Guillermo Urzúa-Morales: Escuela de Ingeniería, Universidad Central de Chile, Santa Isabel 1186, Santiago 8330601, Chile
Juan Pedro Sepulveda-Rojas: Industrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, Chile
Miguel Alfaro: Industrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, Chile
Guillermo Fuertes: Facultad de Ingeniería, Ciencia y Tecnología, Universidad Bernardo O’Higgins, Avenida Viel 1497, Ruta 5 Sur, Santiago 8370993, Chile
Rodrigo Ternero: Industrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, Chile
Manuel Vargas: Facultad de Ingeniería y Tecnología, Universidad San Sebastian, Bellavista 7, Santiago 8420524, Chile

Sustainability, 2020, vol. 12, issue 2, 1-18

Abstract: This research proposes a new distribution system of goods in the historical center of the city of Santiago, Chile. For the design of the urban logistic system, the methodology city logistics and last mile are used. This design incorporates to the freight transport flexible solutions that improve the efficiency of the distribution process and trade supply, minimizing the environmental impact of the atmospheric pollution (AP). The proposal was made through the data collection, the characterization of the sector and the diagnosis of the urban logistics processes. The analysis of the factors allowed to evaluate the costs of the AP negative externalities. The causes were used as design criteria for the proposals, with the aim of improving the quality of life of the city users. The physical location selection of the Cross-Docking was made through an optimization model of maximum coverage. The optimization algorithm of the nearest neighbor was proposed for vehicle routing. The analytic hierarchy process (AHP) was used to generate a ranking of the best non-polluting vehicles to be used in the zone. Finally, the results obtained allowed a 53 ton decrease in carbon dioxide in the square kilometer and reduced 1103 h of interruptions per year in the vehicular congestion of the sector.

Keywords: atmospheric pollution; city logistics; historical center; last mile; urban logistics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
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