Pedro Santos, Maycklla Rândrea Ribeiro Guedes da Purificação, C. A. Fernandes, Ailton Abel Rodrigues dos Santos, Leonardo Santana Dias Neto
{"title":"APPLICATION OF THE HOLT WINTERS MODEL FOR DEMAND FORECASTING IN ADDITIVE SEASONAL SERIES: A CASE STUDY","authors":"Pedro Santos, Maycklla Rândrea Ribeiro Guedes da Purificação, C. A. Fernandes, Ailton Abel Rodrigues dos Santos, Leonardo Santana Dias Neto","doi":"10.5935/2447-0228.20170045","DOIUrl":null,"url":null,"abstract":"Considering the competitive context in which companies are established, in the current market, support tools that help in decision making are gaining more and more importance within organizations. In pursuit of a competitive advantage, demand forecasting methods help reduce costs while predicting, with as much precision as possible, the required quantity of each product as well as the right time. The objective of this work was to analyze the forecast of demand in a company of the agricultural sector, more specifically of the fruit growing, located in the city of Petrolina - PE, using the Holt - Winters Additive Model.","PeriodicalId":236176,"journal":{"name":"Journal of Engineering and Technology for Industrial Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Technology for Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5935/2447-0228.20170045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Considering the competitive context in which companies are established, in the current market, support tools that help in decision making are gaining more and more importance within organizations. In pursuit of a competitive advantage, demand forecasting methods help reduce costs while predicting, with as much precision as possible, the required quantity of each product as well as the right time. The objective of this work was to analyze the forecast of demand in a company of the agricultural sector, more specifically of the fruit growing, located in the city of Petrolina - PE, using the Holt - Winters Additive Model.
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