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Title:APLIKACIJA ZA GENERIRANJE MESEČNIH URNIKOV DELA
Authors:ID Senčar, Marko (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
Files:.pdf UNI_Sencar_Marko_2014.pdf (2,42 MB)
MD5: A5B2337A8202225096FA509CCC9D38A5
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu obravnavamo problem sestavljanja mesečnih urnikov dela. Sestavljanje urnika predstavlja zahteven kombinatorični problem, zato smo za njegovo reševanje uporabili evolucijski algoritem, katerega delovanje temelji na mehanizmih Darwinove evolucije. Implementirali smo algoritem, ki poskuša čim bolj optimalno razdeliti izmene zaposlenih glede na zahtevane vhodne podatke. Algoritem smo poganjali z različnimi nastavitvami vrednosti parametrov ter analizirali njihov vpliv na kakovost rezultatov. Najboljšo rešitev algoritma smo primerjali z rešitvijo ročne metode. Ugotovili smo, da z razvitim algoritmom dobimo primerljive rezultate v krajšem času. S tem prihranimo dragoceni čas, ki ga za sestavljanje urnika porabijo delavci zadolženi za opravljanje te zahtevne naloge.
Keywords:sestavljanje urnika, optimizacija, evolucijski algoritem
Place of publishing:Maribor
Publisher:[M. Senčar]
Year of publishing:2014
PID:20.500.12556/DKUM-46138 New window
UDC:004.421.6:004.6(043.2)
COBISS.SI-ID:18520598 New window
NUK URN:URN:SI:UM:DK:75EYHMDQ
Publication date in DKUM:25.02.2015
Views:1543
Downloads:235
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:APPLICATION FOR GENERATING MONTHLY TIMETABLES OF WORK
Abstract:In the thesis, we deal with the problem of assembling monthly work schedules. Creating such a schedule represents a complex combinatorial problem, so we have to address it by using an evolutionary algorithm, whose functioning is based on the mechanisms of the Darwinian evolution. We have implemented an algorithm that optimizes in assigning employee shifts based on our input data. The algorithm was run with different parameter settings which were analyzed for their impact on the quality of the results. We compared the best solution from the algorithm to the best solution of the manual method and came to the conclusion that we get comparable results in a shorter time with a fully developed algorithm. Using the algorithm saves valuable time in assembling working schedules for the workers who are assigned to this demanding task.
Keywords:assembling work schedule, optimisation, evolutionary algorithm


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