<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Baptista, Susana</style></author><author><style face="normal" font="default" size="100%">Gomes, Maria Isabel</style></author><author><style face="normal" font="default" size="100%">Barbosa-póvoa, Ana Paula</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A stochastic model for a multi-period multi-product closed loop supply chain</style></title><secondary-title><style face="normal" font="default" size="100%">XVI Congresso da Associação Portuguesa de Investigação Operacional IO 2013</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://bibliotecadigital.ipb.pt/handle/10198/8451</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://docentes.fct.unl.pt/sites/default/files/mirg/files/2013_baptistagomesbpovoa_io2013.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Bragança, Portugal</style></pub-location><pages><style face="normal" font="default" size="100%">27–37</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this work we propose a stochastic model for the design and planning of closed-loop supply chains.&lt;br /&gt;
Uncertainties in demand and return volumes are modelled together with uncertain transportation&lt;br /&gt;
costs. A two-stage stochastic programming is developed and a sensitivity analysis to the worst-case&lt;br /&gt;
probability is performed in order to test the solution robustness. Finally, in order to prove the&lt;br /&gt;
goodness of the stochastic approach, the value of the stochastic solution and the value of perfect&lt;br /&gt;
information are computed. An example based on a real case shows the model applicability.&lt;/p&gt;
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