A stochastic approach to a case study for product recovery network design

By Ovidiu Listes, Rommert Dekker. European Journal of Operational Research, 2005

399 citations recorded by the source corpus.

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A multi-stage stochastic supply network design problem with financial decisions and risk management (2012, neutral): “[13], Listes- and Dekker [24], Sabri and Beamon [35] and Santoso et al.”
Green Supply-Chain Management: A State-of-the-Art Literature Review (2007, neutral): “[136] Listes, O.”
Facility location and supply chain management - A review (2009, neutral): “Multiple commodities [49,66] [68,99] [59]”
Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. (2010, background): “Listes and Dekker (2005) propose a stochastic programming-based approach for the sand recycling case study given in Barros et al. (1998).”
A possibilistic programming approach for closed-loop supply chain network design under uncertainty (2010, methodology): “Usually stochastic programming approaches were used to model the randomness of model parameters (see for example [15,18]) and (2) epistemic uncertainty that deals with lack of knowledge about model parameters and possibilistic programming approaches are used to cope with this kind of uncertainty (se”
A memetic algorithm for bi-objective integrated forward/reverse logistics network design (2010, background): “To this end, Listes and Dekker [20] suggest a scenario-based stochastic mixed integer programming (SMIP) model to maximize the total profit in a sand recycling network.”