模糊环境下逆向物流中单产品多周期定价模型研究

Research on the Pricing Decision Model of Reverse Logistics for the Single Product and Multi-cycle under Fuzzy Environment

模糊环境下逆向物流单产品多周期定价问题中的多个参数为模糊数,可以通过建立其模糊期望值模型,并利用遗传算法进行求解。在研究多周期的单产品定价问题时,考虑需求与销售价格成指数函数关系情形,确定整个物流系统中的最优定价策略,其结果显示出逆向物流的参与,使得企业利润高出许多。对所建立的模型,通过数值算例来验证其有效可行性。

The pricing problem for single product of reverse logistics is investigated in multi-cycle under fuzzy environment. Assuming that there is more parameters in the model are fuzzy numbers, the fuzzy expected value model is established, and solved by Genetic Algorithm. When discussing the pricing of single product and multi-cycle, considering the demand is the exponential function of the sale price, the optimal pricing decision is researched throughout the whole logistics system. The results show the profit of enterprise will be much higher with the participation of reverse logistics. Numerical examples are provided, and the validity and feasibility of the models and algorithm have been proved.