基于组合预测法的成品油需求预测研究

M. Zhu, Jiangwei Zhang
{"title":"基于组合预测法的成品油需求预测研究","authors":"M. Zhu, Jiangwei Zhang","doi":"10.1109/ICEE.2010.207","DOIUrl":null,"url":null,"abstract":"The demand forecast is very necessary during the process of product oil supply because the distribution of product oil consumer market is not balanced in our country, in order to respond to market demand in time, so that, the enterprise not only keep the balance of the supply and demand of product oil by the production planning according to the information of the timely market demand forecast, but also can reduce cost of the product transportation and inventory. Now the product oil demand is forecasted in this paper by the combination forecast method based on the arithmetic average, moving average, index smoothing method. Through comprehensive use of the demand forecasting methods, we can reduce the prediction error and improve the precision of requirement forecast, and a group of optimal solution will be selected in these several forecasting methods.","PeriodicalId":420284,"journal":{"name":"2010 International Conference on E-Business and E-Government","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research of Product Oil Demand Forecast Based on the Combination Forecast Method\",\"authors\":\"M. Zhu, Jiangwei Zhang\",\"doi\":\"10.1109/ICEE.2010.207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The demand forecast is very necessary during the process of product oil supply because the distribution of product oil consumer market is not balanced in our country, in order to respond to market demand in time, so that, the enterprise not only keep the balance of the supply and demand of product oil by the production planning according to the information of the timely market demand forecast, but also can reduce cost of the product transportation and inventory. Now the product oil demand is forecasted in this paper by the combination forecast method based on the arithmetic average, moving average, index smoothing method. Through comprehensive use of the demand forecasting methods, we can reduce the prediction error and improve the precision of requirement forecast, and a group of optimal solution will be selected in these several forecasting methods.\",\"PeriodicalId\":420284,\"journal\":{\"name\":\"2010 International Conference on E-Business and E-Government\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on E-Business and E-Government\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE.2010.207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Business and E-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2010.207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

由于我国成品油消费市场分布不均衡,在成品油供应过程中,需求预测是非常必要的,为了及时对市场需求做出反应,企业不仅可以根据及时的市场需求预测信息,通过生产计划来保持成品油的供需平衡,还可以降低成品油的运输和库存成本。本文采用基于算术平均法、移动平均法、指数平滑法的组合预测方法对成品油需求进行预测。通过对需求预测方法的综合运用,可以减少预测误差,提高需求预测的精度,并在这几种预测方法中选出一组最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research of Product Oil Demand Forecast Based on the Combination Forecast Method
The demand forecast is very necessary during the process of product oil supply because the distribution of product oil consumer market is not balanced in our country, in order to respond to market demand in time, so that, the enterprise not only keep the balance of the supply and demand of product oil by the production planning according to the information of the timely market demand forecast, but also can reduce cost of the product transportation and inventory. Now the product oil demand is forecasted in this paper by the combination forecast method based on the arithmetic average, moving average, index smoothing method. Through comprehensive use of the demand forecasting methods, we can reduce the prediction error and improve the precision of requirement forecast, and a group of optimal solution will be selected in these several forecasting methods.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Computer Aided Management of Bilingual Course Materials Notice of RetractionCharacteristics of Enterprise Training and the Comparison with Academic Education Object Management and Performance Assessment Model Design in University: Taking a University as an Example Notice of RetractionIndustrial Policy Analysis on Low-carbon Economic Development Empirical Study on FDI, International Trade and Economic Growth in Chongqing Based on VAR
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1