<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
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      <dc:title>A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem</dc:title>
      <dc:creator>El Raoui, Hanane</dc:creator>
      <dc:creator>Oudani, Mustapha</dc:creator>
      <dc:creator>Pelta Mochcovsky, David Alejandro</dc:creator>
      <dc:creator>El Hilali Alaoui, Ahmed</dc:creator>
      <dc:subject>Routing problem</dc:subject>
      <dc:subject>Fresh food distribution</dc:subject>
      <dc:subject>Many-objectives optimization</dc:subject>
      <dc:subject>Customer-centric</dc:subject>
      <dc:subject>Metaheuristic</dc:subject>
      <dc:description>The CNRST has awarded H. El Raoui an excellence scholarship. D. Pelta acknowledges support from projects TIN2017-86647-P (Spanish Ministry of Economy, Industry, and Competitiveness. Including FEDER funds) and PID2020-112754GB-I00 (Spanish Ministry of Science and Innovation).</dc:description>
      <dc:description>High transportation costs and poor quality of service are common vulnerabilities in various&#xd;
logistics networks, especially in food distribution. Here we propose a many-objective Customercentric&#xd;
Perishable Food Distribution Problem that focuses on the cost, the quality of the product,&#xd;
and the service level improvement by considering not only time windows but also the customers’&#xd;
target time and their priority. Recognizing the difficulty of solving such model, we propose a General&#xd;
Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve&#xd;
a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over&#xd;
some non-optimized criteria and then ranked using an a posteriori approach that requires minimal&#xd;
information about decision maker preferences. The computational results show (a) GVNS achieved&#xd;
same quality solutions as an exact solver (CPLEX) in the subproblem; (b) GVNS can generate a wide&#xd;
number of candidate solutions, and (c) the use of the a posteriori approach makes easy to generate&#xd;
different decision maker profiles which in turn allows to obtain different rankings of the solutions.</dc:description>
      <dc:date>2021-10-05T12:11:45Z</dc:date>
      <dc:date>2021-10-05T12:11:45Z</dc:date>
      <dc:date>2021-08-20</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:identifier>El Raoui, H... [et al.]. A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem. Electronics 2021, 10, 2018. [https://doi.org/10.3390/electronics10162018]</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/70656</dc:identifier>
      <dc:identifier>10.3390/electronics10162018</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:rights>Atribución 3.0 España</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
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