@misc{10481/70656,
year = {2021},
month = {8},
url = {http://hdl.handle.net/10481/70656},
abstract = {High transportation costs and poor quality of service are common vulnerabilities in various
logistics networks, especially in food distribution. Here we propose a many-objective Customercentric
Perishable Food Distribution Problem that focuses on the cost, the quality of the product,
and the service level improvement by considering not only time windows but also the customers’
target time and their priority. Recognizing the difficulty of solving such model, we propose a General
Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve
a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over
some non-optimized criteria and then ranked using an a posteriori approach that requires minimal
information about decision maker preferences. The computational results show (a) GVNS achieved
same quality solutions as an exact solver (CPLEX) in the subproblem; (b) GVNS can generate a wide
number of candidate solutions, and (c) the use of the a posteriori approach makes easy to generate
different decision maker profiles which in turn allows to obtain different rankings of the solutions.},
organization = {CNRST},
organization = {Spanish Ministry of Economy, Industry, and Competitiveness	TIN2017-86647-P},
organization = {European Commission	TIN2017-86647-P},
organization = {Spanish Government	PID2020-112754GB-I00},
publisher = {MDPI},
keywords = {Routing problem},
keywords = {Fresh food distribution},
keywords = {Many-objectives optimization},
keywords = {Customer-centric},
keywords = {Metaheuristic},
title = {A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem},
doi = {10.3390/electronics10162018},
author = {El Raoui, Hanane and Oudani, Mustapha and Pelta Mochcovsky, David Alejandro and El Hilali Alaoui, Ahmed},
}