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This paper considers the optimal design and planning problem of a closed-loop supply chain (CLSC) where profit maximization is pursued while considering: adjustments in the network structure during the planning horizon providing flexibility to the network as well as uncertainty in supply and customer demands.
In this work a two-stage scenario-based modeling approach is proposed in order to simultaneously deal with the design and planning decisions in supply chain networks, where both forward and reverse flows are considered (closed-loop supply chains) subject to uncertain conditions. A mixed integer linear programming (MILP) approach is developed with the underlying objective of profit maximization. Planning...
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