Ανάλυση των μεθόδων πρόβλεψης στο πεδίο των logistics
Analysis of forecasting methods in the field of logistics
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Keywords
Μέθοδοι πρόβλεψης ; Εφοδιαστική αλυσίδα ; Ποιοτικές μέθοδοι πρόβλεψης ; Ποσοτικές μέθοδοι πρόβλεψηςAbstract
This work examines the application and effectiveness of forecasting methods in logistics, aiming to optimize inventory management, demand planning, and supply flows. Forecast accuracy is a critical driver of cost reduction, product availability, and overall supply chain performance. Developing reliable models for predicting order volumes is therefore essential for efficient resource allocation and successful business planning.
The study first provides a theoretical overview of key quantitative and qualitative forecasting techniques, including Moving Average, Exponential Smoothing, the Delphi method, and market research via anonymous surveys, highlighting their advantages, limitations, and typical use cases. It then incorporates a case study based on realistic historical demand data from a company in the food and beverage sector, where multiple methods are implemented and their predictive performance compared. Evaluation is conducted using metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE), among others.
The results indicate that approaches accounting for seasonality and underlying trends deliver superior performance in scenarios with variable demand. The thesis concludes with practical recommendations for selecting and deploying forecasting methods to achieve robust, actionable demand forecasts in logistics settings.
Postgraduate Studies Programme
Βιομηχανική Διοίκηση και ΤεχνολογίαDepartment
Σχολή Ναυτιλίας και Βιομηχανίας. Tμήμα Βιομηχανικής Διοίκησης και TεχνολογίαςNumber of pages
93Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα