基于时间序列的贸易企业需求预测

Fanda Layla Sari
{"title":"基于时间序列的贸易企业需求预测","authors":"Fanda Layla Sari","doi":"10.2991/aebmr.k.210717.033","DOIUrl":null,"url":null,"abstract":"CV Lancar Jaya Sakti is a trading company that has not applied forecasting methods in procurement and longterm inventory analysis, so there is no certainty or basis for making requests for goods from suppliers. The purpose of this study is to describe how the demand forecasting method can be applied as a basis for making decisions to minimize the risks that will occur in the future. The technique used in this research is descriptive with quantitative forecasting. The results showed a decrease in sales demands in the forecast period of 2021. This is mostly due to unpredictable external factors such as the Covid-19 pandemic and government policy. The advice given is to optimize the existing resources using the SWOT AHP (Analytical Hierarchy Process) method. The contribution of this research is to prove how the implementation of demand forecasting can solve problems that result in a company's financial losses. The limitation of this research is the sales flow of CV Lancar Jaya Sakti. Keywords—demand forecasting, time sequence, risk","PeriodicalId":433214,"journal":{"name":"Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demand Forecasting of Trading Companies Based on Time Sequence\",\"authors\":\"Fanda Layla Sari\",\"doi\":\"10.2991/aebmr.k.210717.033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CV Lancar Jaya Sakti is a trading company that has not applied forecasting methods in procurement and longterm inventory analysis, so there is no certainty or basis for making requests for goods from suppliers. The purpose of this study is to describe how the demand forecasting method can be applied as a basis for making decisions to minimize the risks that will occur in the future. The technique used in this research is descriptive with quantitative forecasting. The results showed a decrease in sales demands in the forecast period of 2021. This is mostly due to unpredictable external factors such as the Covid-19 pandemic and government policy. The advice given is to optimize the existing resources using the SWOT AHP (Analytical Hierarchy Process) method. The contribution of this research is to prove how the implementation of demand forecasting can solve problems that result in a company's financial losses. The limitation of this research is the sales flow of CV Lancar Jaya Sakti. Keywords—demand forecasting, time sequence, risk\",\"PeriodicalId\":433214,\"journal\":{\"name\":\"Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/aebmr.k.210717.033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/aebmr.k.210717.033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

CV Lancar Jaya Sakti是一家贸易公司,在采购和长期库存分析中没有使用预测方法,因此没有确定性或根据向供应商提出货物请求。本研究的目的是描述如何将需求预测方法作为决策的基础,以最大限度地减少未来将发生的风险。本研究采用描述性定量预测方法。结果显示,在预测期内(2021年),销售需求将有所减少。这主要是因为新冠肺炎疫情和政府政策等不可预测的外部因素。给出的建议是使用SWOT AHP(层次分析法)方法优化现有资源。本研究的贡献是证明需求预测的实施如何解决导致公司财务损失的问题。本研究的局限性是CV Lancar Jaya Sakti的销售流程。关键词:需求预测,时间序列,风险
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
Demand Forecasting of Trading Companies Based on Time Sequence
CV Lancar Jaya Sakti is a trading company that has not applied forecasting methods in procurement and longterm inventory analysis, so there is no certainty or basis for making requests for goods from suppliers. The purpose of this study is to describe how the demand forecasting method can be applied as a basis for making decisions to minimize the risks that will occur in the future. The technique used in this research is descriptive with quantitative forecasting. The results showed a decrease in sales demands in the forecast period of 2021. This is mostly due to unpredictable external factors such as the Covid-19 pandemic and government policy. The advice given is to optimize the existing resources using the SWOT AHP (Analytical Hierarchy Process) method. The contribution of this research is to prove how the implementation of demand forecasting can solve problems that result in a company's financial losses. The limitation of this research is the sales flow of CV Lancar Jaya Sakti. Keywords—demand forecasting, time sequence, risk
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
Financial Analysis to Predict Financial Distress of Small and Medium-Sized Entities in Malang City Meaningful Learning: Improving Students’ Accounting Knowledge and Skills Through Learning Computer Accounting Practice Courses The Effect of Earning Management on Level of Stickiness Cost in Registered Consumer Goods Industry Sector Companies on the Indonesia Stock Exchange 2016-2018 Accounting Treatment for Cryptocurrency Mediating Role of Good Corporate Governance to Intellectual Capital and Firm Value
×
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