An Empirical Study of Coal Product Sales Forecast Based on R Language
HUANG Yuda
WANG Huanhuan
WANG Yiran
Abstract：In the current market economy environment,the problems existing in the management of coal sales,such as sales forecasting is not scientific,production planning is not reasonable,lack of marketing decision support information and other issues,by using R language and time series analysis theory,combined with the historical sales data of a certain coal enterprise and the specific sales forecasting process,coal sales of a certain period is forecasted by using the Holt winters exponential smoothing prediction method,the forecast result and the actual data are compared and analyzed.The experimental results show that the sales forecast is of high accuracy,forecast results not only provide a reasonable decision making basis for sales managers,but also have important significance to strengthen the management of coal sales,reasonable arrangement of the production plan and improve the sales profits.
Keywords：coal sales forecastR languagetime series analysisHolt-winter index smoothing methodprediction model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 48-52,126 )