An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty

In this work the design of a reverse distribution network is studied. Most of the proposed models on the subject are case based and, for that reason, they lack generality. In this paper we try to overcome this limitation and a generalized model is proposed. It contemplates the design of a generic re...

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Veröffentlicht in:	European journal of operational research 2007-06, Vol.179 (3), p.1063-1077
Hauptverfasser:	Salema, Maria Isabel Gomes, Barbosa-Povoa, Ana Paula, Novais, Augusto Q.
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Sprache:	eng
Schlagworte:	Generalized linear models Integer programming Logistics Optimization Optimization model Reverse logistics Studies Uncertainty
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container_title	European journal of operational research
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creator	Salema, Maria Isabel Gomes Barbosa-Povoa, Ana Paula Novais, Augusto Q.
description	In this work the design of a reverse distribution network is studied. Most of the proposed models on the subject are case based and, for that reason, they lack generality. In this paper we try to overcome this limitation and a generalized model is proposed. It contemplates the design of a generic reverse logistics network where capacity limits, multi-product management and uncertainty on product demands and returns are considered. A mixed integer formulation is developed which is solved using standard B&B techniques. The model is applied to an illustrative case.
doi_str_mv	10.1016/j.ejor.2005.05.032
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subjects	Generalized linear models Integer programming Logistics Optimization Optimization model Reverse logistics Studies Uncertainty
title	An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
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