Remanufacturing planning under uncertainty: a two-stage stochastic programming approach
Résumé
A multi-product multi-period aggregate remanufacturing planning problem involving uncertain input data is considered. A two-stage stochastic programming approach is investigated, resulting in the formulation of a large-size linear program. Preliminary computational results providing a first assessment of the value of stochastic programming for the problem are presented.
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