Artificial neural network based demand forecasting integrated with federal funds rate

• Autorzy: Anupa Arachchige , Sugathadasa Ranil , Herath Oshadhi , Thibbotuwawa Amila

Identyfikatory

DOI

10.23743/acs-2021-27

• Języki publikacji: EN

Abstrakty

EN

Adverse effects of inaccurate demand forecasts; stockouts, overstocks, customer loss have led academia and the business world towards accurate demand forecasting methods. Artificial Neural Network (ANN) is capable of highly accurate forecasts integrated with many variables. The use of Price and Promotion variables have increased the accuracy while the addition of other relevant variables would decrease the occurrences of errors. The use of the Federal Funds Rate as an additional macro-economic variable to ANN forecasting models has been discussed in this research by the means of the accuracy measuring method: Average Relative Mean Absolute Error.

Słowa kluczowe

EN

demand forecasting; artificial neural network; price; promotion; federal funds rate

PL

prognozowanie popytu; sztuczna sieć neuronowa; cena; promocja; stawki funduszy federalnych

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2021
• Tom: Vol. 17, no 4
• Strony: 34--44
• Opis fizyczny: Bibliogr. 36 poz., fig., tab.

Twórcy

autor

Anupa Arachchige

• University of Moratuwa, Faculty of Engineering, Department of Transport and Logistics, Moratuwa, Sri Lanka

autor

Sugathadasa Ranil

• University of Moratuwa, Faculty of Engineering, Department of Transport and Logistics, Moratuwa, Sri Lanka

autor

Herath Oshadhi

• University of Moratuwa, Faculty of Engineering, Department of Transport and Logistics, Moratuwa, Sri Lanka

autor

Thibbotuwawa Amila

• University of Moratuwa, Faculty of Engineering, Department of Transport and Logistics, Moratuwa, Sri Lanka

• https://orcid.org/0000-0002-5443-8839

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).