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1.
DOLOČITEV STRATEGIJ NA MODELU PREHODNOSTI ČLOVEŠKIH VIROV ZA DOSEGANJE CILJNIH STANJ
Blaž Bavec, 2010, undergraduate thesis

Abstract: Diplomsko delo obravnava določitev strategij za doseganje ciljnih stanj v hierarhičnih sistemih človeških virov. Rešitev je razvita z objektno orientiranim programskim jezikom Java in integriranim razvojnim orodjem Eclipse. Predstavljeni so osnovni koncepti teorije sistemske dinamike in optimizacije z uporabo genetskih algoritmov in njihova implementacija. Model sistemske dinamike obravnava tri stanja z možnostjo razširitve na poljubno število stanj. Za optimizacijo je uporabljena metoda genetskih algoritmov za reševanje enodimenzionalnih in dvodimenzionalnih problemov. Rešitev na testnih primerih nam kot rezultat vrne strategijo, ki nam zagotovi dinamiko sistema skladno s ciljnimi stanji.
Keywords: Človeški viri, Ciljna stanja, Sistemska dinamika, Genetski algoritmi, Java, Optimizacija
Published: 24.11.2010; Views: 1736; Downloads: 137
.pdf Full text (3,99 MB)

2.
SPLETNA REALIZACIJA GENETSKIH ALGORITMOV ZA DOLOČITEV STRATEGIJ UPRAVLJANJA NA HIERARHIČNEM MODELU ČLOVEŠKIH VIROV
Blaž Bavec, 2013, master's thesis

Abstract: Magistrsko delo obravnava problematiko prestrukturiranja strogo hierarhične organizacijske strukture s pomočjo modelov sistemske dinamike, optimizacije z genetskimi algoritmi ter metodo končnih avtomatov. Opredeljena je metodologija definicije modela strogo hierarhične organizacijske strukture po principih sistemske dinamike. Nastavljen je sistem enačb, ki omogočajo analitično obravnavo problematike. Zaradi možnih oscilacij pri določitvi strategij prehodov je uveden končni avtomat, ki le-te preprečuje. Sistem, ki omogoča določitev strategij za doseganje želenega stanja, je razvit s pomočjo programskega jezika Javascript. Sistem je sestavljen iz simulacijskega modela, genetskih algoritmov, končnega avtomata ter uporabniškega vmesnika. Razvito rešitev je moč uporabiti prek svetovnega spleta na mobilnih napravah. Delovanje genetskih algoritmov je bilo preverjeno s pomočjo testnih funkcij. Oblikovana sta bila dva ključna scenarija za primer treh organizacijskih nivojev. Nad scenariji je bilo izvedeno 12 kombinacij nastavitev parametrov genetskih algoritmov. Podane so bile ugotovitve glede konvergence in delovanja sistema pri različnih pogojih.
Keywords: Genetski algoritmi, Javascript, Multi dimenzionalni model, Sistemska dinamika, Mobilne naprave, Internet, Človeški viri, Organizacijski sistem, Kontrolni sistem
Published: 07.11.2013; Views: 1034; Downloads: 70
.pdf Full text (25,59 MB)

3.
Web application for hierarchical organizational structure optimization
Davorin Kofjač, Blaž Bavec, Andrej Škraba, 2015, original scientific article

Abstract: Background and Purpose: In a complex strictly hierarchical organizational structure, undesired oscillations may occur, which have not yet been adequately addressed. Therefore, parameter values, which define fluctuations and transitions from one state to another, need to be optimized to prevent oscillations and to keep parameter values between lower and upper bounds. The objective was to develop a simulation model of hierarchical organizational structure as a web application to help in solving the aforementioned problem. Design/Methodology/Approach: The hierarchical structure was modeled according to the principles of System Dynamics. The problem of the undesired oscillatory behavior was addressed with deterministic finite automata, while the flow parameter values were optimized with genetic algorithms. These principles were implemented as a web application with JavaScript/ECMAScript. Results: Genetic algorithms were tested against well-known instances of problems for which the optimal analytical values were found. Deterministic finite automata was verified and validated via a three-state hierarchical organizational model, successfully preventing the oscillatory behavior of the structure. Conclusion: The results indicate that the hierarchical organizational model, genetic algorithms and deterministic finite automata have been successfully implemented with JavaScript as a web application that can be used on mobile devices. The objective of the paper was to optimize the flow parameter values in the hierarchical organizational model with genetic algorithms and finite automata. The web application was successfully used on a three-state hierarchical organizational structure, where the optimal flow parameter values were determined and undesired oscillatory behavior was prevented. Therefore, we have provided a decision support system for determination of quality restructuring strategies.
Keywords: hierarchical organizational structure, genetic algorithms, deterministic finite automata, system dynamics, optimization, human resources
Published: 04.04.2017; Views: 467; Downloads: 37
.pdf Full text (1,19 MB)
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