A stochastic programming approach for closed-loop supply chain network design under uncertain quality status

نویسندگان

  • Mohammad Jeihoonian
  • Masoumeh Kazemi Zanjani
  • Michel Gendreau
چکیده

In this article, we presents a two-stage stochastic programming model for the problem of designing a closed-loop supply chain network which is applicable in the context of modular structured products. The model accounts for uncertainty in the quality status of the return stream, modeled as binary scenarios for each component in the reverse bill of material corresponding to such products. The stochastic model is solved by the aid of an accelerated L-shaped algorithm by considering a reduced set of scenarios.

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تاریخ انتشار 2016