Abstract: Focusing on the fuzziness and randomness in the recycling logistics of demolition and construction wastes, the design of recycling networks under different carbon emission policies is studied. A fuzzy-stochastic programming model with objectives being maximizing system profit and minimizing waste landfills is established; the fuzzy objectives and constraints are transformed through expected intervals and expected values of fuzzy numbers; the sample average approximation method and the ε-constraint method are used to cope with random parameters and transform the landfill objective into constraints; taking the renovation project of shanty towns in Qingdao as a case study, a numerical analysis is conducted, where the model is solved by gurobi. Results show that: the system is more profitable under a carbon trading policy when the proportion of landfills allowed is high (r^L>34%) and more profitable under a carbon tax policy when the proportion of landfills allowed is low (r^L<34%); when there is a strict landfill constraint (r^L=30%), carbon emission policies basically do no work in carbon reduction; with a mixed policy and no landfill constraint, the government's regulation of carbon trading price level and fluctuation can balance the carbon emission and waste landfills of recycling networks.

Key words: carbon trading, carbon tax, mixed policy, fuzzy-stochastic programming, recycling network