Σύγχρονα συστήματα πρόβλεψης ζήτησης και διαχείρισης αποθεμάτων
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Keywords
Πληροφοριακά συστήματα ; Πρόβλεψη ζήτησης ; ERP ; Μέθοδοι πρόβλεψης ; ΑποθέματαAbstract
In today's fast-paced business environment, technology plays a critical role in helping companies manage their business effectively. With the right tools and systems, businesses can improve their inventory management accuracy, efficiency and their overall performance. Through the following analysis presented in the third chapter, information systems that assist in automation and data analysis are identified as well as real-time inventory demand monitoring and forecasting.
Some of the systems mentioned are used as business resource management information systems, the production resource planning and the warehouse and transport management system. The problematic commodity demand problem boils down to inventory management problems and then to time series analysis problems.
In the main research part of current thesis, an attempt is made to apply classical reflection methods using moving average and exponential smoothing, where the cases of presence of trend and seasonality are also taken into account. Moving in the framework of delivery of a total inventory management solution, a systematic method of selecting the optimal reflection method is determined, depending on the results obtained from the pre-processing of the historical demand data, which are a prerequisite of any forecasting method. The paper concludes with the presentation of the main conclusions as well as the bibliography used.
Postgraduate Studies Programme
Πρόγραμμα Μεταπτυχιακών Σπουδών στη Διοίκηση Επιχειρήσεων (ΜΒΑ)Department
Σχολή Οικονομικών, Επιχειρηματικών και Διεθνών Σπουδών. Τμήμα Οργάνωσης και Διοίκησης ΕπιχειρήσεωνNumber of pages
96Language
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