节点文献

基于R语言的煤炭产品销售预测实证研究

An Empirical Study of Coal Product Sales Forecast Based on R Language

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 黄宇达王换换王迤冉

【Author】 HUANG Yuda;WANG Huanhuan;WANG Yiran;College of Information and Engineering,Zhoukou Vocational and Technical College;College of Network Engineering,Zhoukou Normal University;

【机构】 周口职业技术学院信息工程学院周口师范学院网络工程学院

【摘要】 针对目前市场经济环境下煤炭销售管理存在的一些如销售预测不科学、生产规划不合理、销售决策辅助信息匮乏等问题,利用R语言和时间序列分析相关理论,结合某煤炭企业历史销售数据和具体销售预测流程,采用霍尔特-温特指数平滑预测法对一定时期内的煤炭销售进行预测并将预测结果与实际数据作了对比分析。实验结果表明:销售预测具有较高的准确度,预测结果不仅为煤炭销售管理人员提供合理决策依据,而且对加强煤炭销售管理、合理安排生产计划和提高销售利润具有重要意义。

【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.

【基金】 河南省科技计划项目(编号:112300410307);河南省基础与前沿技术研究计划项目(编号:122300410397)资助
  • 【文献出处】 计算机与数字工程 ,Computer & Digital Engineering , 编辑部邮箱 ,2017年01期
  • 【分类号】F426.21;F274;O213
  • 【被引频次】5
  • 【下载频次】762
节点文献中: 

本文链接的文献网络图示:

本文的引文网络