A random multi-objective model on integrated logistics

Four classical reverse logistics network structures are presented. In the reuse reverse logistics network, the quantity of recycled products, the requirement of the new products, and the time request are uncertain, according to theory of uncertain program, and base on the analysis of the construction of reuse reverse logistics network, we try to integrate the forward logistics network and reverse logistics network to set up a closed loop logistics network. An EVMOP (Expected Value Multi-objective Programming) model is established, the model describes the reuse reverse logistics as production, distribution, consumption, collection, transportation, recycle, disposal, reuse. The solution scheme was pursued by the hybrid genetic algorithm. An application to Chinese beer industry is given as an illustration.