Research On Multiple Methods-Fusion Style Decision Technology And Its Application In The Evaluation To Key Customer In The 3RD Party Logistics.

With the rapid development of the 3rd party logistics in recent years, the competition is growing increasingly among logistics firms. In the fierce market, a serious problem which firms concern mostly is what customer strategy makes firms more competitive. Decision-making methods like evaluating customers, clustering customers and deciding key customers are able to help logistics firms to constitute customer strategies and draw long-term plans, which eventually improves the strength of the firm in essence. The status of customer can be reflected by business data generated inbusiness activities. Thus the potential of a customer could be acquired via forecasting its business data. As a result, this paper puts forward a various-period forecasting model for seasonal time series which applies appropriate methods to forecast data with various periods. Furthermore, with respect to the data less than 3 years, a seasonal time series forecasting method based on GM(1,1) was advanced to forecast seasonal data precisely. Then a customer clustering model based on K-MEDOIDS was...