灰色-马尔柯夫预测模型在物流产品回收中的应用研究

Study on Application of Grey-Markov Forecasting Model in Logistics Material Recycling

针对逆向物流预测中不稳定性因素进行定量和定性分析,制定出相应的改善方法,让逆向物流量趋向稳定,提高工作效率。最后,针对逆向物流的要求对马尔柯夫预测和灰色预测进行改进,吸取两者的优点,建立灰色-马尔柯夫预测模式,促进逆向物流预测工作的顺利开展。

In this paper, in view of the factors of uncertainty in reverse logistics forecasting, we formulated the corresponding method to make the volume of reverse logistics more stable and its working efficiency higher. At the end, we modified the Markov forecasting model and grey forecasting model and established the grey-Markov forecasting model which absorbed the strength of the two.