Parfüm sektöründe hibrit bir öngörüm yaklaşımı talep tahmini
2024
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Advisor: Yrd. Doç. Dr. Fatih Yiğit
Abstract (EN)
Accuracy in demand forecasting is a key pillar that supports effective supply chain management and operational effectiveness as it covers various industries .However, traditional forecasting methodologies often struggle to keep pace with the complex and constantly evolving nature of demand re subject to the influence of multiple factors. To meet this complex challenge, hybrid forecasting presented them on the scene, leveraging the combined capabilities of different distinct forecasting techniques. This thesis seeks to present an innovative hybrid forecasting framework specifically designed for demand forecasting, with the aim of enhancing accuracy and increasing flexibility in forecasts.
Author
Dr. Mohammed Zourgui
How to Cite
Mohammed Zourgui (Master Thesis). Parfüm sektöründe hibrit bir öngörüm yaklaşımı talep tahmini, 2024, Altınbaş University.
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