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master's thesis
Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:036691
Smolić-Ročak, Magda
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Smolić Ročak, M. (2024). Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:036691

Smolić Ročak, Magda. "Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:036691

Smolić Ročak, Magda. "Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:036691

Smolić Ročak, M. (2024). 'Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:036691

Smolić Ročak M. Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 January 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:036691

M. Smolić Ročak, "Primjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:036691

Metadata
TitlePrimjena problema preusmjeravanja vozila s vremenskim ograničenjima u uslugama na zahtjev
Title (english)Application of time-constrained vehicle routing problem in on-demand services
AuthorMagda Smolić-Ročak
MentorBojan Trkulja (mentor)
Committee memberBojan Trkulja (predsjednik povjerenstva)
Committee memberMihaela Vranić (član povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-19, Croatia
Abstract
Tržište rada obuhvaća velik broj poslova I izvođača s različitim vještinama, iskustvom i preferencijama. Dinamičnost tržišta rada, dostupnost radne snage na lokaciji, uvjeti rada, trajanje posla samo su neki od činitelja koji uvećavaju složenost procesa uparivanja zadatka na lokaciji i izvođača. U okviru ovog rada bit će razvijen pristup zakazivanju termina radnika na različitim lokacijama u gradu prilagođavanjem načela vremenski ograničenog problema usmjeravanja vozila (TCVRP). Problem se formulira temeljem lokacija rada uključujući vremenska ograničenja, koja se provode u model planiranja koji uključuje varijable odlučivanja za zadatke radnika unutar vremenskog razdoblja i na lokaciji. Implementacija odabranog algoritma daje rješenje za planiranje koje dodjeljuje radnike lokacijama s određenim vremenskim ograničenjima te se koristi za učinkovito upravljanje uslugama na zahtjev.
Abstract (english)
The labor market encompasses a wide range of jobs and performers with varying skills, experiences, and preferences. The dynamic nature of the labor market, the availability of workforce at specific locations, working conditions, and job durations are just some factors that increase the complexity of matching tasks to performers. This work will develop an approach to scheduling worker appointments at different locations within a city by adapting principles from the Time-Constrained Vehicle Routing Problem (TCVRP). The problem is formulated based on work locations, including time constraints, integrated into a planning model that involves decision variables for scheduling worker tasks within specific time periods and locations. The implementation of the chosen algorithm provides a solution for scheduling that assigns workers to locations with specific time constraints, aiming to efficiently manage on-demand services.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:036691
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-10-12 22:07:38