Abstract
In this paper we propose a comprehensive model for reverse logistics planning where many real-world features are considered such as the existence of several facility echelons, multiple commodities, choice of technology and stochasticity associated with transportation costs and waste generation. Moreover, we adopt a bi-objective model for the problem. First, the cost for building and operating the network is to be minimized. Second, the obnoxious effect caused by the reverse network facilities is also to be minimized. A two-stage stochastic bi-objective mixed-integer programming formulation is proposed, in which the strategic decisions are considered in the first stage and the tactical/operational decisions in the second one. A set of different scenarios is considered, and the extensive form of the deterministic equivalent problem is presented. This model is tested with a case study based on some data from the Spanish province of Cordoba. Nondominated solutions are obtained by combining the two different objectives and by using a general solver.
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This work partly stems from the participation of some of the authors in a research project funded by the Spanish Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica 2004–2007 (MEC-DGI-SGPI), reference DPI2007-65524, titled “Analysis and Development of Techniques for Designing and Operating Reverse Logistics Systems”. This research has also been partially supported by the Portuguese Science Foundation, Project POCTI-ISFL-1-152.
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Fonseca, M.C., García-Sánchez, Á., Ortega-Mier, M. et al. A stochastic bi-objective location model for strategic reverse logistics. TOP 18, 158–184 (2010). https://doi.org/10.1007/s11750-009-0107-2
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DOI: https://doi.org/10.1007/s11750-009-0107-2