undergraduate thesis
Demand Forecasting Methods

Dinko Škudar (2015)
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Transport Logistics
Metadata
TitlePrimjena metoda za prognoziranje potražnje u opskrbnom lancu
AuthorDinko Škudar
Mentor(s)Diana Božić (thesis advisor)
Abstract
Prognoziranje potražnje temeljem podataka o narudžbama umjesto podataka o potražnji krajnjeg kupca (korisnika) u lancu, na sljedećim višim razinama kumulativno generira sve veća odstupanja. Ovaj fenomen, u kojem svaki novi sudionik u lancu opskrbe dobiva sve pogrešne informacije o potražnji poznat je kao "efekta biča". U pokušaju da se smanje ove nepravilnosti, proizvođači obvezuju distributeru dostaviti podatke prognoziranja potražnje na njihovom tržištu. Ovaj rad predstavlja primjenu potražnje predviđanja metodama kao glavna tema završnog rada. Također, vrste dionica, pojedinačne razine zaliha, planiranje zaliha i metoda upravljanja, nadzor inventara i izračunavanje potražnje koristeći vremenske metode serije također su prikazani i obrađeni.
Keywordstypes of inventory inventory management supply chain forecasting methods to time series
Parallel title (English)Demand Forecasting Methods
Committee MembersDiana Božić
Mario Šafran
Ivona Bajor
Ratko Stanković
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
Lower level organizational unitsDivision of Intelligent Transport Systems and Logistics
Department of Transport Logistics
PlaceZagreb
StateCroatia
Scientific field, discipline, subdisciplineTECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Study programme typeuniversity
Study levelundergraduate
Study programmeIntelligent Transport Systems and Logistics
Academic title abbreviationuniv. bacc. ing. traff.
Genreundergraduate thesis
Language Croatian
Defense date2015-09-15
Parallel abstract (English)
Forecasting demand in the supply chain based is on only numbers of orders instead of real quantities demanded by end customers in supply chain, can lead to discrepancy between forecasted and real quantities and that discrepancy is increasing with every new participant in the supply chain. This phenomenon, where every new participant in supply chain gets increasingly wrong information about demand is known as „bullwhip effect“. In an attempt to reduce these irregularities manufacturers oblige distributors to deliver forecasted demand data on their market.This paper presents application of demand-forecasting methods as a major topic of the final thesis. Also, types of stock, individual stock levels, inventory planning and management methods, inventory control and demand calculation using time series method is also presented and elaborated.
Parallel keywords (Croatian)vrste inventara upravljanja zalihama opskrbnog lanca predviđanja metoda za vremenske serije
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:119:771373
CommitterMojca Brenko-Puzak