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Title:Analiza metod in programskih rešitev za razporejanje kadrov
Authors:ID Janeva, Blagica (Author)
ID Pušnik, Maja (Mentor) More about this mentor... New window
Files:.pdf MAG_Janeva_Blagica_2024.pdf (5,65 MB)
MD5: CFAED308378022706920B735740223A1
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu smo s pregledom literature raziskali pogosto uporabljene metode, algoritme in modele, ki se uporabljajo na področju razporejanja kadrov. Pregledali in primerjali smo obstoječe programske rešitve, ki se uporabljajo za reševanje problemov razporejanja kadrov. V praktičnem delu smo izvedli anketo, namenjeno slovenskim podjetjem, s katero smo raziskovali seznanjenost podjetij s programskimi rešitvami za razporejanje kadrov in v kolikšni meri uporabljajo takšne oziroma druge sorodne rešitve. Rezultati so pokazali, da so namenske rešitve za razporejanje kadrov sicer prisotne, vendar se uporabljajo v omejenem obsegu, pri čemer je veliko prostora za izboljšave, zlasti pri uvedbi naprednejših funkcionalnosti v obstoječe rešitve na slovenskem trgu.
Keywords:razporejanje kadrov, metode, programske rešitve, delovni plani
Place of publishing:Maribor
Publisher:[B. Janeva]
Year of publishing:2024
PID:20.500.12556/DKUM-90772 New window
UDC:004:005.95(043.2)
COBISS.SI-ID:224012291 New window
Publication date in DKUM:22.10.2024
Views:264
Downloads:58
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:21.09.2024

Secondary language

Language:English
Title:Analysis of staff scheduling methods and software solutions
Abstract:In the master's thesis, frequently used methods, algorithms, and models for staff scheduling found in literature are reviewed. Some existing software solutions that are used to solve personnel scheduling problems are presented and compared. In the practical part, a survey aimed at Slovenian companies is conducted, in order to analyse whether companies are familiar with software solutions for personnel scheduling and to what extent they use such or other related solutions. The results showed that dedicated solutions for staff scheduling do exist, but are used to a limited extent, with a lot of room for improvement, especially when introducing more advanced functionalities into existing solutions on the Slovenian market.
Keywords:staff scheduling, methods, software solutions, work plans


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