A City-Scale Optimization for Distribution of Goods with Stochastic Service

Manuel Vargas; Sebastian Davila; Miguel Alfaro; Guillermo Fuertes; Marc Dahmen

doi:10.20944/preprints202101.0287.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 6 January 2021 / Approved: 15 January 2021 / Online: 15 January 2021 (12:28:56 CET)

The research develops the vehicular routing problem for the distribution of refrigerated products in a multinational company. The mathematical model corresponds to the vehicle routing problem with hard time windows and stochastic service (VRPTW-ST) time model applied in the city of Santiago de Chile. For optimization of the model, optimization methods tabu search, chaotic search and general algebraic modeling were used. The results allow to validate the meta-heuristic chaotic search to solve the VRPTW-ST; chaotic search method obtains superior performance than tabu search method for solving a real problem in a large city.

vehicle routing problem; Metaheuristics; VRPTW-ST

Computer Science and Mathematics, Algebra and Number Theory

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A City-Scale Optimization for Distribution of Goods with Stochastic Service

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