The Supply Chain Uncertain Programming of the Manufacturing/Remanufacturing Hybrid System

Remanufacturing the return products can improve the customer service level and reduce the supply chain cost. The integrated supply chain uncertain programming model of the manufacturing/remanufacturing hybrid system was proposed. The distribution centers distribute the manufactured products and remanufactured products to customers, and also collect the return products. The return products can be remanufactured up to the quality standard of new products satisfying customer demand. The optimal manufacturing production strategy and the optimal distribution inventory strategy considering the reverse logistics were studied under the grey fuzzy uncertainty and grey uncertainty. The proposed grey fuzzy simulation methodology can generate input-output data for the uncertain functions. The designed neural network trained from the input-output data can expedite the simulation process of the uncertain functions. The hybrid intelligent optimization algorithm integrating the grey fuzzy simulation, neural network and genetic algorithm can optimize the uncertain programming model. One numerical example is given to illustrate the effectiveness of the proposed model and algorithm.