Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/90880
Título : A simheuristic algorithm for horizontal cooperation in urban distribution. Application to a case in Colombia
Autoría: Quintero Araujo, Carlos Leonardo  
Montoya-Torres, Jairo R.  
Juan, Angel A.  
Muñoz Villamizar, Andrés Felipe
Citación : Quintero Araujo, C.L., Juan, A.A., Montoya Torres, J. & Muñoz-Villamizar, A. (2016). A Simheuristic Algorithm for Horizontal Cooperation in Urban Distribution: Application to a Case Study in Colombia. Winter Simulation Conference (WSC). Proceedings, 2016(), 2193-2204. doi: 10.1109/WSC.2016.7822261
Resumen : The challenge in last-mile supply chains deliveries is to maintain and improve the operational costeffectiveness by the implementation of efficient procedures while facing increased levels of congestion in cities. One competitive alternative is Horizontal Cooperation (HC). City distribution problems under HC conditions can be modeled as multi-depot vehicle routing problems, which are NP-hard problems meaning that exact methods provide optimal solutions only for small datasets. This complexity increases when considering stochastic demand. Therefore, real-life situations must be solved using heuristic algorithms. This paper proposes the implementation of a simheuristic (i.e., an algorithm combining heuristics with simulation). Experiments are carried out using realistic data from the city of Bogotá, Colombia, regarding the distribution of goods to the whole network of the three major chains of convenience stores currently operating in the city. Results show the power of the proposed simheuristic in comparison with traditional solution approaches based on mathematical programming.
Palabras clave : ruta para vehículos
gestión de la cadena de suministro
procesos estocásticos
programación matemática
distribución de productos
complejidad computacional
DOI: 10.1109/WSC.2016.7822261
Tipo de documento: info:eu-repo/semantics/conferenceObject
Fecha de publicación : dic-2016
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