UPORABA UMETNE INTELIGENCE V RAZVOJU APLIKACIJE ZA RAZPOREJANJE ZAPOSLENIH

Pisk, Nejc

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Title:	UPORABA UMETNE INTELIGENCE V RAZVOJU APLIKACIJE ZA RAZPOREJANJE ZAPOSLENIH
Authors:	ID Pisk, Nejc (Author) ID Kljajić Borštnar, Mirjana (Mentor) More about this mentor...
Files:	MAG_Pisk_Nejc_2021.pdf (3,01 MB) MD5: 9D269C900BBCE57A4E95DEBE424767E7 PID: 20.500.12556/dkum/8567f773-d376-4ce9-88f3-85d65c11c5f8
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	FOV - Faculty of Organizational Sciences in Kranj
Abstract:	Magistrsko delo obravnava proces optimizacije ustvarjanja urnikov in razporejanja zaposlenih, s katerim se dnevno srečujejo vodje in organizatorji več vrst industrij, kjer je potrebno izmensko delo. Optimizacijo procesa dosežemo s samodejnim razporejanjem zaposlenih, kjer si lahko pomagamo s pristopi umetne inteligence, ki z učinkovitimi izračuni pomagajo pri izdelavi urnikov. Predpostavimo, da bodo računalniški izračuni ključnega pomena pri optimizaciji procesa. Ukvarjamo se z razvojem spletne aplikacije ter postavitve potrebne infrastrukture in pričakujemo, da bo takšna rešitev samodejno reševala problem razporejanja zaposlenih. Preučimo teoretične osnove umetne inteligence, področja izpolnjevanja omejitev in metahevristike ter predstavimo problemsko domeno. Ugotovimo, da uporabljene tehnologije in pristopi niso omejeni samo na problemsko domeno razporejanja zaposlenih, vendar tudi na številne ostale probleme. Dosežemo vse začrtane cilje in potrdimo našo domnevo, da bo računalnik problem razporejanja zaposlenih rešil hitreje in bolj učinkovito. Ugotovimo tudi, da je reševanje problema izpolnjevanje omejitev z metahevristiko ključnega pomena, ko želimo zagotoviti optimalno rešitev v razumnem času.
Keywords:	umetna inteligenca, optimizacijski algoritmi, spletna aplikacija, razporejanje zaposlenih
Place of publishing:	Kranj
Year of publishing:	2021
PID:	20.500.12556/DKUM-80872
COBISS.SI-ID:	87269891
Publication date in DKUM:	01.12.2021
Views:	1423
Downloads:	120
Metadata:
Categories:	FOV
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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:	04.11.2021

Secondary language

Language:	English
Title:	USAGE OF ARTIFICIAL INTELLIGENCE IN APPLICATION DEVELOPMENT FOR EMPLOYEE SCHEDULING
Abstract:	This master's thesis deals with the process of optimizing employee scheduling, which is required daily by leaders and organizers of different types of industries where shift work is required. Process optimization is achieved by automatic employee scheduling, where we can use artificial intelligence approaches that help create schedules with efficient calculations. We assume that computer calculations will be crucial in the process of optimization. We developed a web application and set up the necessary infrastructure, and we expect that such a solution will automatically solve the problem of employee scheduling. We studied the theoretical foundations of artificial intelligence, the areas of constraint satisfaction, metaheuristics and the problem domain. We find that the technologies and approaches used are not limited to the problem domain of employee scheduling, but also to a number of other problems. We achieved all the set goals and confirmed our assumption that the computer will solve the problem of scheduling employees faster and more efficiently. We also find that solving constraint satisfaction problems with metaheuristics is of crucial importance when we want to provide an optimal solution within a reasonable time.
Keywords:	artificial intelligence, optimization algorithms, web application, employee scheduling

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