Author/Authors
çayir ervural, beyzanur istanbul teknik üniversitesi - işletme fakültesi - endüstri mühendisliği bölümü, İstanbul, Türkiye , uçal sari, irem istanbul teknik üniversitesi - işletme fakültesi - endüstri mühendisliği bölümü, İstanbul, Türkiye , koçyiğit, berk istanbul teknik üniversitesi - işletme fakültesi - endüstri mühendisliği bölümü, İstanbul, Turkey
Title Of Article
Fuzzy rule based demand forecasting and an application on fast moving consumer industry
شماره ركورد
41033
Abstract
Demand forecasting studies are one of the strategic issues which are considered as significant for academicians and decision makers. Constantly changing political, cultural, legal and economic developments have pushed the companies to predict under uncertainty. It is very difficult to model some problems with traditional methods in complex, multi-dimensional and highly uncertain environment. Fuzzy approaches provide an easier modelling owing to their flexible nature. In this study, a demand forecasting study in a FMCG (fast-moving consumer goods) company has been applied using a rule based fuzzy logic approach which utilizes fuzzy set theory, fuzzy if-else rules and fuzzy inference concepts. The obtained results have been compared with real demands and low MAPE (mean absolute percentage error) values have been calculated. Also the obtained results have been compared with time series approach and the superiorities of the methods are discussed.
From Page
83
NaturalLanguageKeyword
Demand forecasting , Fuzzy logic , Rule based fuzzy approach
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
93
JournalTitle
Pamukkale University Journal Of Engineering Sciences
Link To Document