逆向物流中产品定价研究

An optimal pricing model for product in reverse logistics

在研究单周期逆向物流中产品的定价问题过程中,假设需求是与销售价格和周期相关的函数,通过采购与销售价格之间构成的比例关系,以建立当再生产单位成本为三角模糊数时的模糊期望值模型,确定出最优定价决策,并利用遗传算法进行求解。最后通过数值例子验证了模型的有效可行性。

In the process of product pricing in reverse logistic in a singular cycle,assuming the demand was the exponential function of the sale price,and the sale price proportion to the purchasing cost,a fuzzy expected model was formulated to make the optimal decision of pricing when the remanufacturing cost per unit was the triangular fuzzy number,and solved by genetic algorithm.Finally,the effectiveness and the feasibility of the model were verified with a numerical example.