<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Salema, M.I.G.</style></author><author><style face="normal" font="default" size="100%">Póvoa, APB</style></author><author><style face="normal" font="default" size="100%">Novais, A Q</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Puigjaner, Luis</style></author><author><style face="normal" font="default" size="100%">Espuña, António</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Design and planning of supply chains with reverse flows</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Aided Chemical Engineering</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">optimization</style></keyword><keyword><style  face="normal" font="default" size="100%">planning</style></keyword><keyword><style  face="normal" font="default" size="100%">reverse logistics</style></keyword><keyword><style  face="normal" font="default" size="100%">supply chain design</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.sciencedirect.com/science/article/pii/S1570794605800215</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Elsevier</style></publisher><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">1075–1080</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A multi-product model for the design of global supply chains with reverse flows is proposed. Two levels of decisions are considered, one strategic and one tactical. The first is modelled through a macro perspective of time where the determination of the network structure and flows is accomplished. At tactical level, a micro perspective of time is considered, where production planning and inventory management are addressed in detail. A mixed integer linear programming formulation is developed which is solved with standard Branch and Bound techniques. The model accuracy and suitability are studied using a case study.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;n/a&lt;/p&gt;
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