20.500.12556/DKUM-36553 OPTIMIZACIJA PROCESA OSKRBE PROIZVODNEGA PODJETJA Z REZERVNIMI DELI OPTIMIZATION OF THE SPARE PARTS SUPPLY PROCESS IN A PRODUCTION COMPANY Cilj naloge je razvoj modela oskrbe z rezervnimi deli po principu sistemske dinamike. Na modelu so uporabljeni ustrezni algoritmi za določanje optimalne signalne zaloge in količine za naročanje. Razviti model predstavlja osnovo za izgradnjo modela, ki bo omogočal kontrolo nad zalogami. Z ustrezno povezavo na obstoječi informacijski sistem partnerskega podjetja bi bilo moč z razvitim modelom testirati različne scenarije in določiti najbolj ustrezno strategijo naročanja ob poznanem obsegu proizvodnje (v primeru rezervnih delov) in odprem oz. predvidenemu povpraševanju. Pri izdelavi diplomskega dela sta bili uporabljeni orodji Powersim Constructor in Powersim Solver. Model je zgrajen z dogodkovno simulacijo, pri kateri so bile za optimizacijo uporabljene hevristične iskalne metode (genetski algoritmi) in numerična optimizacija z inkrementalnim iskanjem in algoritmom Monte Carlo. Rezultat naloge je model za optimizacijo oskrbe z rezervnimi deli pri najmanjših stroških. Občutno je zmanjšal zaloge rezervnih delov in optimiziral proces naročanja z iskanjem optimuma pri signalni zalogi in količini naročanja. Preučili smo tudi možnost enega centralnega skladišča namesto zdajšnjih štirih. This diploma work aims at developing micro simulation model for the optimization of spare parts supply. The developed system dynamics model presents optimization aspects of spare parts supply process from storage locations to production locations according to the stochastic demand. The model can be adapted to other inventory types and presents the basis for supply process scenario testing and further supply strategy definitions upon recognized production volume or machine failure threats. In order to develop micro simulation model for the optimization of spare parts supply, system dynamics principles, event based simulation and genetic algorithms were used. Powersim Constructor in Powersim Solver were recognized as appropriate tools. Following methodological steps were performed: a) Supply process analysis, b) Categorization of material items into A, B, C and X, Y, Z groups, c) Application of genetic algorithms, d) Definition of simulation model for spare parts supply process optimization. Micro simulation model for the optimization of spare parts supply represents diploma work result. The suggested model supports spare parts supply at the lowest costs by recognizing the optimum points of alarm inventory levels and ordering quantities. optimizacija zaloge stroški oskrba vzdrževanje rezervni deli optimization stock costs supply supply chain maintenance spare parts true true false Slovenski jezik Angleški jezik Diplomsko delo 2012-06-13 13:54:38 2013-01-31 09:36:24 2022-04-20 08:50:19 2023-12-28 03:33:56 2012 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 7126291 URN:SI:UM:DK:WIFGK1KZ VS_Rode_Janez_2012.pdf VS_Rode_Janez_2012.pdf 1 E55ABAA92B0212D1F06D53D57E827218 ee25fb68f571b613fafe7a3b59d551fafed19a7d7a46e8dfa44c9dd66f044727 e2a8050f-7c06-11eb-bb7a-00155d0001ca 20.500.12556/dkum/a1987f91-5deb-45ff-a073-cb5129daaf69 https://dk.um.si/Dokument.php?lang=slv&id=48146 Fakulteta za organizacijske vede 0 0 0