Διαχείριση αποθεμάτων και μοντέλα πρόβλεψης με πρακτική εφαρμογή στην FHP Hellas SA, Vileda Greece

Μπαλτούμα, Αφροδίτη

Master Thesis

Author

Μπαλτούμα, Αφροδίτη

Date

2013-10

Abstract

The main purpose of this paper is after a brief report of the most well known in the business world mathematical forecasting models , to analyze , process and adapt some of them in the actual daily business of a company and in particular of «Freudenberg Haushaltsprodukte Vileda Greece SA». Starting with an introduction to the relative notions of demand, consumer needs and particularities, demand forecasting, demand forecasting methods, supply chain and inventory management will be given a general frame-environment under within all companies act today in order to emphasize the need of demand forecasting and consequently the necessity of applying mathematical models for this forecasting. In the following chapters a presentation of the most popular mathematical models by grouping them will be made proceeding with a selection and analysis of those which the writer has selected as the most useful and easy to apply on many material groups. Afterwards a short presentation of the company «Freudenberg Haushaltsprodukte Vileda Greece SA» will be made on which selected forecasting methods will be applied. With the contribution of an internal statistical tool these methods will be compared and after analysis, the one ideal for this case will be selected. For the selection of the ideal method not only the numeral findings but also some key quality factors as inventory level and cost, stock coverage, ABC analysis and many more will be taken into account. The purpose of this paper is to prove through examples that not all forecasting models can be applied blindly to all products and to all companies but rather an analysis, process and combination of all these methods is required to succeed in forecasting with the slightest forecasting error.

Postgraduate Studies Programme

Οργάνωση και Διοίκηση Βιομηχανικών Συστημάτων

Department

Σχολή Ναυτιλίας και Βιομηχανίας. Tμήμα Βιομηχανικής Διοίκησης και Tεχνολογίας

Number of pages

114

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/8560

Collections

Τμήμα Βιομηχανικής Διοίκησης και Τεχνολογίας

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