Use of Statistical Control for Improved Demand Forecasting

E. Christo, M. Ferreira, K. C. Alonso
{"title":"Use of Statistical Control for Improved Demand Forecasting","authors":"E. Christo, M. Ferreira, K. C. Alonso","doi":"10.1109/BRICS-CCI-CBIC.2013.121","DOIUrl":null,"url":null,"abstract":"The forecasting demand is the basis of strategic planning for production, sales and finances of any company. They are used for planning and control of production for planning productive system (long term) and the using (short term) of this system. With the increasing of the competition in the automobile market, there are, consequently, the increasing of concerning about establishing a balance between offering and demand of vehicles. Then come the need to calculate statistical predictions of future demands, which are translated into a real approximation of future events of the company in question. Thus, this work is divided in two stages: first - find out the best forecasting model (lower mean percentage of error between the actual and predicted) for the vehicle demand, second - analyze the residuals control charts of the best forecasting model so that to observe and draw the points that may be outside the control limits. The main goal is to plan the production of vehicle sales within a stipulated period and create scenarios for future periods.","PeriodicalId":306195,"journal":{"name":"2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BRICS-CCI-CBIC.2013.121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The forecasting demand is the basis of strategic planning for production, sales and finances of any company. They are used for planning and control of production for planning productive system (long term) and the using (short term) of this system. With the increasing of the competition in the automobile market, there are, consequently, the increasing of concerning about establishing a balance between offering and demand of vehicles. Then come the need to calculate statistical predictions of future demands, which are translated into a real approximation of future events of the company in question. Thus, this work is divided in two stages: first - find out the best forecasting model (lower mean percentage of error between the actual and predicted) for the vehicle demand, second - analyze the residuals control charts of the best forecasting model so that to observe and draw the points that may be outside the control limits. The main goal is to plan the production of vehicle sales within a stipulated period and create scenarios for future periods.
使用统计控制改进需求预测
需求预测是任何公司生产、销售和财务战略规划的基础。它们用于计划和控制生产,计划生产系统(长期)和使用(短期)该系统。随着汽车市场竞争的日益激烈,建立汽车供需平衡的问题日益引起人们的关注。然后,需要计算未来需求的统计预测,将其转化为有关公司未来事件的真实近似值。因此,本工作分为两个阶段:首先,找出汽车需求的最佳预测模型(实际与预测之间的平均误差百分比更低),其次,分析最佳预测模型的残差控制图,观察并绘制可能超出控制范围的点。主要目标是计划在规定时期内的汽车销售产量,并为未来时期创造情景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信