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master's thesis
PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA
Diplomski rad
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2023. urn:nbn:hr:145:169553
Novaković, Nora
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek

Institutional repository: EFOS REPOSITORY

Cite this document

Novaković, N. (2023). PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:169553

Novaković, Nora. "PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:145:169553

Novaković, Nora. "PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:145:169553

Novaković, N. (2023). 'PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 24 August 2024, https://urn.nsk.hr/urn:nbn:hr:145:169553

Novaković N. PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2023 [cited 2024 August 24] Available at: https://urn.nsk.hr/urn:nbn:hr:145:169553

N. Novaković, "PROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:145:169553

Metadata
TitlePROGNOZIRANJE POTRAŽNJE POMOĆU METODA VREMENSKIH SERIJA : Diplomski rad
Title (english)DEMAND FORECASTING USING TIME SERIES METHODS : Graduate paper
AuthorNora Novaković
MentorDavor Dujak (mentor)
Committee memberMartina Briš Alić (predsjednik povjerenstva)
Committee memberDavor Dujak (član povjerenstva)
Committee memberJelena Franjković (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Osijek
Defense date and country2023-09-11, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Quantitative Economics
Abstract
Maloprodajni svijet podložan je promjenama, nepredvidljivosti i kompleksnosti zbog promjena ponašanja i preferencija kod potrošača. Te dinamične promjene primjetne su u različitim kategorijama proizvoda, količinama, trendovima... Sukladno tome, poduzeća se nastoje prilagoditi potrošačima gdje iznimno važnu ulogu i sve veće značenje dobiva predviđanje potražnje koje predstavlja temelj strateških i operativnih planova. Dvije metode koje se mogu koristiti prilikom izrade prognoza su kvalitativne i kvantitativne. Kvalitativne metode koriste se u tradicionalnom predviđanju i uključuju puno iskustva, intuicije i subjektivnosti. Kvantitativne metode koriste podatke i analitičke alate za predviđanje i vrste su metoda koje se koriste u softveru za automatsko predviđanje potražnje. U radu su primijenjene metode vremenskih serija kao najpoznatija kvantitativna metoda, kako bi se stvorila prognoza na temelju prikupljenih podataka. Prilikom izračuna prognoze potražnje, primijenjeno je sedam metoda vremenskih serija za poduzeće Decathlon čija potražnja za ženskim tajicama pokazuje blagi rastući trend. Kao kriterij odabira optimalne metode prognoziranja potražnje korišten je izračun mjere grešaka prognoze.
Abstract (english)
The retail world is subject to change, unpredictability and complexity due to changes in consumer behavior and preferences. These dynamic changes are noticeable in different product categories, quantities, trends... Accordingly, companies try to adapt to consumers, where demand forecasting, which is the basis of strategic and operational plans, plays an extremely important role and becomes increasingly important. The two methods that can be used when making forecasts are qualitative and quantitative. Qualitative methods are used in traditional forecasting and involve a lot of experience, intuition and subjectivity. Quantitative methods use data and analytical tools for forecasting and are the types of methods used in automatic demand forecasting software. In this work, time series methods were applied as the best-known quantitative method, in order to create a forecast based on the collected data. When calculating the demand forecast, seven time series methods were applied for Decathlon, whose demand for women's tights shows a slight upward trend. The calculation of the measure of forecast errors was used as a criterion for selecting the optimal demand forecasting method.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:169553
Study programmeTitle: Business economy; specializations in: Trade and logistics, Management, Logistic management , Business informatics
Course: Logistic management
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni magistar / magistra ekonomije (sveučilišni magistar / magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-12-07 14:35:25