{"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}
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.