Analiza učinka modela prognoze potražnje za prehrambene proizvode

master's thesis

• Title (english): Performance Analysis of Demand Forecast Models for Food Products.
• Author: Shanon Marković
• Mentor: Kristijan Rogić (mentor)
• Committee member: Darko Babić (predsjednik povjerenstva)
• Committee member: Ratko Stanković (član povjerenstva)
• Committee member: Ivona Bajor (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Intelligent Transport Systems and Logistics); (Department of Transport Logistics); Zagreb
• Defense date and country: 2023-09-21, 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: metode prognoze potražnje; lanac opskrbe; prehrambeni proizvodi
• Keywords (english): demand forecasting methods; supply chain; food products
• Language: croatian
• URN:NBN: urn:nbn:hr:119:667758
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-10-12 16:19:54