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master's thesis
Sustav za planiranje radnih zaduženja djelatnika
Rijeka: University of Rijeka, Faculty of Engineering, 2019. urn:nbn:hr:190:987155
Čop, Julian
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Čop, J. (2019). Sustav za planiranje radnih zaduženja djelatnika (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:987155

Čop, Julian. "Sustav za planiranje radnih zaduženja djelatnika." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:987155

Čop, Julian. "Sustav za planiranje radnih zaduženja djelatnika." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:987155

Čop, J. (2019). 'Sustav za planiranje radnih zaduženja djelatnika', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:987155

Čop J. Sustav za planiranje radnih zaduženja djelatnika [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:190:987155

J. Čop, "Sustav za planiranje radnih zaduženja djelatnika", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:987155

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Metadata
TitleSustav za planiranje radnih zaduženja djelatnika
Title (english)Workforce Scheduler System
AuthorJulian Čop
MentorKristijan Lenac (mentor)
MentorIvan Štajduhar (sumentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2019-01-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovajdiplomskiradsastojiseod2dijela: teorijskogipraktičnog. Teorijskidionastoji analizirati, opisati i razrješiti problem organizacije i raspoređivanja radnih zaduženja djelatnika jedne tvrtke. Pri tom je naglasak na umjetnoj inteligenciji automatiziranog planiranja odnosno odabira najučinkovitijeg rasporeda (problem ruksaka). Kao rješenje problema definiran je i implementiran poseban sustav u obliku MVC web aplikacije. Web aplikacija predstavlja praktični dio diplomskog rada te ima mogućnosti upravljati bazom podataka, birati kriterije te prikazati preporuku optimalnog rasporeda. Aplikacija je detaljno opisana unutar rada i slobodna za korištenje.
Abstract (english)
This master’s thesis is divided into 2 parts: theory and practice. The theoretical part of master’s thesis is trying to analyze, describe and solve the problem of organisation and workforce (task-resource) scheduling. Primary focus has been put on automated planning and scheduling as a part of artificial intelligence that tries to choose the best possible solution (knapsack problem). The practical part of master’s thesis has been implemented as a MVC web application and it is a representation of a special planning system for workforce scheduling. Main goal of this web application is to recommend user the best possible schedule by giving him full control of the process data and preferred task criteria. Web application is well described inside of the thesis and is free to use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:987155
Study programmeTitle: Computer Engineering
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
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryRepository of the University of Rijeka, Faculty of Engineering
Created on2019-01-31 10:53:24

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