20.500.12556/DKUM-80872 UPORABA UMETNE INTELIGENCE V RAZVOJU APLIKACIJE ZA RAZPOREJANJE ZAPOSLENIH USAGE OF ARTIFICIAL INTELLIGENCE IN APPLICATION DEVELOPMENT FOR EMPLOYEE SCHEDULING 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. 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. umetna inteligenca optimizacijski algoritmi spletna aplikacija razporejanje zaposlenih artificial intelligence optimization algorithms web application employee scheduling true true false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2021-11-04 14:01:06 2021-12-01 10:15:51 2022-08-10 00:04:24 0000-00-00 00:00:00 2021 0 Kranj 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 87269891 MAG_Pisk_Nejc_2021.pdf MAG_Pisk_Nejc_2021.pdf 1 9D269C900BBCE57A4E95DEBE424767E7 f6ae668158912e93491fb645761110247c100b5c4ad6ce7e0df40644a968790a ebae6746-3d70-11ec-9734-00155d000105 20.500.12556/dkum/8567f773-d376-4ce9-88f3-85d65c11c5f8 https://dk.um.si/Dokument.php?lang=slv&id=155274 Fakulteta za organizacijske vede 0 0 0