Reverse Logistics Predicting Model and Its Application

Services(2012)

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摘要
This paper studies a predicting model of the reverse logistics and its application in beer bottle recycling process. The model is composed of long-term growth trend and seasonal variation where long-term growth trend is described by gray model and seasonal variation is described by seasonal index. The reverse logistics value chain is analyzed by RMM. Then this paper studies two recovery paths of the beer bottle and all links of paths which reveals the application scenarios of the predicting model of the reverse logistics. Some suggestions are put forward in the end.
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关键词
seasonal index,logistics predicting model,gray model,rmm,reverse logistics value chain,beer bottle recycling process,recycling,beer bottle,paper study,seasonal variation,prediction theory,application scenario,beverages,long-term growth trend,reverse logistics prediction model,reverse logistics,predictive models,mathematical model,data models
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