The Experts below are selected from a list of 66 Experts worldwide ranked by ideXlab platform
Augusto Q Novais - One of the best experts on this subject based on the ideXlab platform.
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an optimization model for the design of a capacitated multi product Reverse logistics network with uncertainty
European Journal of Operational Research, 2007Co-Authors: Maria Isabel Gomes Salema, Ana Paula Barbosapovoa, Augusto Q NovaisAbstract: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.
Erik Rolland - One of the best experts on this subject based on the ideXlab platform.
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the design of Reverse Distribution networks models and solution procedures
European Journal of Operational Research, 2003Co-Authors: Vaidyanathan Jayaraman, Raymond A Patterson, Erik RollandAbstract:Reverse Distribution, or the management of product return flows, induced by various forms of reuse of products and materials, has received growing attention throughout this decade. In this paper we discuss Reverse Distribution, and propose a mathematical programming model for a version of this problem. Due to the complexity of the proposed model, we introduce a heuristic solution methodology for this problem. The solution methodology complements a heuristic concentration procedure, where sub-problems with reduced sets of decision variables are iteratively solved to optimality. Based on the solutions from the sub-problems, a final concentration set of potential facility sites is constructed, and this problem is solved to optimality. The potential facility sites are then expanded in a greedy fashion to obtain the final solution. This “heuristic expansion ” was also performed using the solution found with a greedy heuristic to provide a short-list of potential facility sites. Computational tests demonstrate a great deal of promise for this solution method, as high-quality solutions are obtained while expending modest computational effort.
Maria Isabel Gomes Salema - One of the best experts on this subject based on the ideXlab platform.
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an optimization model for the design of a capacitated multi product Reverse logistics network with uncertainty
European Journal of Operational Research, 2007Co-Authors: Maria Isabel Gomes Salema, Ana Paula Barbosapovoa, Augusto Q NovaisAbstract: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.
Vaidyanathan Jayaraman - One of the best experts on this subject based on the ideXlab platform.
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the design of Reverse Distribution networks models and solution procedures
European Journal of Operational Research, 2003Co-Authors: Vaidyanathan Jayaraman, Raymond A Patterson, Erik RollandAbstract:Reverse Distribution, or the management of product return flows, induced by various forms of reuse of products and materials, has received growing attention throughout this decade. In this paper we discuss Reverse Distribution, and propose a mathematical programming model for a version of this problem. Due to the complexity of the proposed model, we introduce a heuristic solution methodology for this problem. The solution methodology complements a heuristic concentration procedure, where sub-problems with reduced sets of decision variables are iteratively solved to optimality. Based on the solutions from the sub-problems, a final concentration set of potential facility sites is constructed, and this problem is solved to optimality. The potential facility sites are then expanded in a greedy fashion to obtain the final solution. This “heuristic expansion ” was also performed using the solution found with a greedy heuristic to provide a short-list of potential facility sites. Computational tests demonstrate a great deal of promise for this solution method, as high-quality solutions are obtained while expending modest computational effort.
Ana Paula Barbosapovoa - One of the best experts on this subject based on the ideXlab platform.
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an optimization model for the design of a capacitated multi product Reverse logistics network with uncertainty
European Journal of Operational Research, 2007Co-Authors: Maria Isabel Gomes Salema, Ana Paula Barbosapovoa, Augusto Q NovaisAbstract: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.