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master's thesis
Optimizacija procesa prijevozne logistike modelom segmentacije kupaca
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2022. urn:nbn:hr:119:819260
Vidović, Fran
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

Vidović, F. (2022). Optimizacija procesa prijevozne logistike modelom segmentacije kupaca (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:819260

Vidović, Fran. "Optimizacija procesa prijevozne logistike modelom segmentacije kupaca." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:119:819260

Vidović, Fran. "Optimizacija procesa prijevozne logistike modelom segmentacije kupaca." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:119:819260

Vidović, F. (2022). 'Optimizacija procesa prijevozne logistike modelom segmentacije kupaca', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:119:819260

Vidović F. Optimizacija procesa prijevozne logistike modelom segmentacije kupaca [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2022 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:119:819260

F. Vidović, "Optimizacija procesa prijevozne logistike modelom segmentacije kupaca", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:119:819260

Metadata
TitleOptimizacija procesa prijevozne logistike modelom segmentacije kupaca
Title (english)Transport Logistics Process Optimization by Customer Segmentation Model
AuthorFran Vidović
MentorMario Šafran (mentor)
Committee memberKristijan Rogić (predsjednik povjerenstva)
Committee memberRatko Stanković (član povjerenstva)
Committee memberDarko Babić (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 country2022-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Prijevozna logistika predstavlja znanstvenu disciplinu i stručnu djelatnost koja se bavi organizacijom i optimizacijom prijevoza robe, a cilj joj je ispunjenje zahtjeva kupaca uz najmanje troškove. Zbog ispunjenja rastućih zahtjeva kupaca i zadržavanja konkurentnosti na tržištu, poduzeća su primorana optimizirati procese prijevozne logistike s ciljem što učinkovitijeg korištenja prijevoznih i ljudskih resursa, uz visoku razinu pružene usluge. Ovaj rad istražuje mogućnosti optimizacije procesa prijevozne logistike na primjeru konkretne tvrtke, distributera pića, modelom segmentacije kupaca koja kupce dijeli u kategorije na temelju njihove vrijednosti za tvrtku. Segmentacija je izrađena na temelju podataka o narudžbama kupaca kroz promatrani period dobivenih od tvrtke te se u radu prikazuje utjecaj navedene segmentacije na aktivnosti prijevozne logistike i distribucije robe, odnosno organizaciju dnevnih transportnih procesa tvrtke.
Abstract (english)
Transport logistics is a scientific discipline and professional activity that deals with the organisation and optimisation of the transportation of goods. Its goal is to fulfill customer needs at the lowest costs. In order to meet the customers growing demands and maintain competitiveness in the market, companies are forced to optimise transport logistics processes with the aim of using transport and human resources as efficiently as possible, while providing high level of service. This thesis investigates the possibilities of optimising the transport logistics processes in the case of a beverage distributor company, using a customer segmentation model that categorises customers based on their value to the company. The segmentation is based on customer orders data for the observed period, obtained from the company. Thesis shows the impact of the mentioned segmentation on the activities of transport logistics and distribution of goods, i.e. the organisation of the company's daily transport processes.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:819260
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 on2022-12-09 17:22:34