A stochastic optimization approach for paper recyc

Authors: S Soner Kara S Onut

Publish Date: 2010/09/01

Volume: 7, Issue: 4, Pages: 717-730

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Abstract

One of the most important objectives of a manufacturing firm is the efficient design and operation of its supply chain to maximize profit Paper is an example of a valuable material that can be recycled and recovered Uncertainty is one of the characteristics of the real world The methods that cope with uncertainty help researchers get realistic results In this study a twostage stochastic programing model is proposed to determine a long term strategy including optimal facility locations and optimal flow amounts for large scale reverse supply chain network design problem under uncertainty This network design problem includes optimal recycling and collection center locations and optimal flow amounts between the nodes in the multifacility environment Proposed model is suitable for recycling/ manufacturing type of systems in reverse supply chain All deterministic stochastic models are mixedinteger programing models and are solved by commercial software GAMS 216/CPLEX 90

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