Title
		
		
			Razvoj modela sistema održavanja primenom simulacije
		
	
			Creator
		
		
			Petrović, Saša M. 1971- 
					
	
			Copyright date
		
		
			2019
		
	
			Object Links
		
		
	
			Select license
		
		
			Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
		
	
			License description
		
		
			Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
		
	
			Language
		
		
			Serbian
		
	
			Cobiss-ID
		
		
	
			Theses Type
		
		
			Doktorska disertacija
		
	
			description
		
		
			 
Datum odbrane: 27.02.2019.
		
	
			Other responsibilities
		
		mentor
				Milosavljević, Peđa 1966- 
				predsednik komisije
				Maksimović, Rado
				član komisije
				Spasojević-Brkić, Vesna
				član komisije
				Mitrović, Melanija
				član komisije
				Temeljkovski, Dragan
				
			Academic Expertise 
		
		
			Tehničko-tehnološke nauke
		
	
			University
		
		
			Univerzitet u Nišu
		
	
			Faculty
		
		
			Mašinski fakultet
		
	
			Group
		
		
			Katedra za proizvodno-informacione tehnologije i menadžment
		
	
				Alternative  title
			
			
				Development of model of maintenance system by applying simulation 
			
		
				Publisher
			
			
				 [S. М. Petrović] 
			
		
				Format
			
			
				225 listova
			
		
				description
			
			
				Biografija autora: list 225;
Bibliografija: listovi 216-224.
			
		
				description
			
			
				Industrial management
			
		
				Abstract (en)
			
			
				The subject of the planned research is development and use of the maintenance model for complex hierarchical organization with heterogeneous equipment by applying simulation. With the literature analysis, it is found that such approach is rare and uncommon in World and especially in Serbia. Simulation methods are extremely demanding for usage because of nature of physical system who is to be modeled. All properties are to be taken into account like time, interconnections, different factors etc. Moreover, the simulation is a tool for evaluation, decision support and reengineering. Furthermore, the simulation is a tool for forecasting. Even though if the simulation model is easy for design, an extremely challenging task is how to provide parameters for discrete events simulation (DES). Statistical process control (SPC) methodology with well-defined tools is itself a robust instrument for process evaluation and improvement. But values obtained by SPC could be magnified in combination with DES.
Also, this research has a goal to find the best usable performance indicators. Research achievements could be better resource utilization, higher availability, lower maintenance cost and consequently better energy efficiency and the environment protection.
			
		
				Authors Key words
			
			
				sistem održavanja, performanse, simulacioni model, poboljšanje, proces
			
		
				Authors Key words
			
			
				maintenance system, performance, simulation, model, process improvement
			
		
				Classification
			
			
					658.58:519.876.5(043.3)
			
		
				Subject
			
			
				T210
			
		
				Type
			
			
				Tekst
			
		
			Abstract (en)
		
		
			The subject of the planned research is development and use of the maintenance model for complex hierarchical organization with heterogeneous equipment by applying simulation. With the literature analysis, it is found that such approach is rare and uncommon in World and especially in Serbia. Simulation methods are extremely demanding for usage because of nature of physical system who is to be modeled. All properties are to be taken into account like time, interconnections, different factors etc. Moreover, the simulation is a tool for evaluation, decision support and reengineering. Furthermore, the simulation is a tool for forecasting. Even though if the simulation model is easy for design, an extremely challenging task is how to provide parameters for discrete events simulation (DES). Statistical process control (SPC) methodology with well-defined tools is itself a robust instrument for process evaluation and improvement. But values obtained by SPC could be magnified in combination with DES.
Also, this research has a goal to find the best usable performance indicators. Research achievements could be better resource utilization, higher availability, lower maintenance cost and consequently better energy efficiency and the environment protection.
		
	
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