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master's thesis
Analiza učinka modela prognoze potražnje za prehrambene proizvode
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2023. urn:nbn:hr:119:667758
Marković, Shanon
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Transport Logistics

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Marković, S. (2023). Analiza učinka modela prognoze potražnje za prehrambene proizvode (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:667758

Marković, Shanon. "Analiza učinka modela prognoze potražnje za prehrambene proizvode." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:119:667758

Marković, Shanon. "Analiza učinka modela prognoze potražnje za prehrambene proizvode." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:119:667758

Marković, S. (2023). 'Analiza učinka modela prognoze potražnje za prehrambene proizvode', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 22 July 2024, https://urn.nsk.hr/urn:nbn:hr:119:667758

Marković S. Analiza učinka modela prognoze potražnje za prehrambene proizvode [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2023 [cited 2024 July 22] Available at: https://urn.nsk.hr/urn:nbn:hr:119:667758

S. Marković, "Analiza učinka modela prognoze potražnje za prehrambene proizvode", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:119:667758

Metadata
TitleAnaliza učinka modela prognoze potražnje za prehrambene proizvode
Title (english)Performance Analysis of Demand Forecast Models for Food Products.
AuthorShanon Marković
MentorKristijan Rogić (mentor)
Committee memberDarko Babić (predsjednik povjerenstva)
Committee memberRatko Stanković (član povjerenstva)
Committee memberIvona Bajor (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Transport Logistics)
Zagreb
Defense date and country2023-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Prognoza potražnje je ključni aspekt upravljanja lancem opskrbe. To je proces procjene buduće potražnje za određenim proizvodima ili uslugama, što uključuje predviđanje količine tih proizvoda ili usluga koje će potrošači tražiti u budućem razdoblju. Ova procjena se temelji na analizi različitih čimbenika, uključujući povijesne podatke o potražnji, trendove, sezonske fluktuacije, marketinške kampanje i druge relevantne faktore. Primjena metoda prognoze potražnje u lancu opskrbe obuhvaća planiranje proizvodnje, upravljanje zalihama i planiranje nabave te rezultira većom učinkovitošću, smanjenjem operativnih troškova i boljim zadovoljenjem potreba kupaca. Analiza učinka prognoze potražnje na prehrambene proizvode predstavlja ključan aspekt u modernom poslovanju prehrambene industrije. U ovom radu, fokus je na tome kako primjena metoda prognoze potražnje može doprinijeti upravljanju lance opskrbe. Metode prognoze potražnje će biti primijenjene na proizvodima široke potrošnje, konkretno na primjerima kefira i bezglutenskog kruha.
Abstract (english)
Demand forecasting is a key aspect of supply chain management. It is the process of estimating future demand for specific products or services, including predicting the quantity of these products or services that consumers willseek in a future time period. This estimation is based on the analysis of various factors, including historical demand data, trends, seasonal fluctuations, marketing campaigns, and other relevant factors. The application of demand forecasting methods in the supply chain encompasses production planning, inventory management, and procurement planning, resulting in increased efficiency, reduced operational costs, and better customer satisfaction. The analysis of the impact of demand forecasting on food products represents a crucial aspect of modern food industry operations. This paper focuses on how the application of demand forecasting methods can contribute to supply chain management. Demand forecasting methods will be applied to fast-moving consumer goods,specifically using the examples of kefir and gluten-free bread.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:667758
Study programmeTitle: Intelligent Transport Systems and Logistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-12 16:19:54