Title (srp)

Fragilnost kao faktor rizika kod visoko optimizovanih LEAN poslovnih sistema

Author

Jovičić, Miloš, 1991-

Contributor

Mačužić, Ivan, 1971-
Đapan, Marko, 1983-
Aleksić, Aleksandar, 1983-
Stanojević, Petar, 1965-

Description (srp)

Rezime: Simulacione metodologije pružaju niz mogućnosti u analizi,upravljanju i kontroli poslovnih sistema. Kontinualni razvoj simulacionihmodela i njihova integracija sa modelima za veštačku inteligenciju postajesve učestalija u industrijskom inženjerstvu i inženjerskom menadžmentu, a svesa ciljem boljeg upravljanja procesima. U doktorskoj disertaciji sagledan jesegment primene vremenski zavisnih simulacionih modela, koji još uvek nisudovoljno zastupljeni u odnosu na druge metodologije u industrijskominženjerstvu. Analiza rizika poslovnih sistema u kombinaciji sadinamičkim simulacijama, predstavljala je glavni cilj izrade doktorskedisertacije. Takođe predmet istraživanja bio je usmeren ka razvoju novog alataza analizu rizika kod poslovnih sistema. Analiza fragilnosti sistema prepublikovanja naučnih radova koji čine osnovu doktorske disertacije, nijeimala široku primenu izvan finansijskog sektora. Shodno tome bilo jepotrebno sagledati mogućnosti adaptacije ove heurističke metodologije zaprimenu na druge ekonomske entitete, izvan finansijskog sektora. Predmetistraživanja su bili LEAN sistemi, i njihovo dinamičko ponašanje poduticajem različitih stresora. LEAN poslovni sistemi se često klasifikujukao visoko optimizovanim i efikasni u svojim operacijama, međutim ovisistemi mogu pokazati niz strukturalnih nedostataka u reakciji na eksternu iinternu volatilnost. Kao predmet doktorske disertacije bilo je kreiranjesimulacionih modela koji su u mogućnosti da detektuju fragilnost visokooptimizovanih LEAN sistema. Kreirani su simulacioni modeli,optimizovani za analizu fragilnosti, gde je analizirana fragilnost u okviruzdravstva i sektora komunalnog otpada. Analizirani sistemi se moguklasifikovati kao LEAN sistemi, koji su kroz sprovedene analize pokazalifragilnost na neželjene nagle promene. Može se zaključiti da kombinovanjesimulacionih tehnologija sa heurističkim metodama za analizu rizika možedoprineti razvoju oblasti menadžmenta rizikom.

Description (srp)

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Description (eng)

Abstract:Simulation methodologies offer a large spectrum of capabilities in analyzingand managing industrial and service-based systems. In order to improve processmanagement, industrial engineering and engineering management are placing anincreasing emphasis on the continuous development of simulation models and theirintegration with artificial intelligence models. The dissertation examines the area oftime-dependent simulation model application, which is still understudied in industrialengineering when compared to other approaches. In the doctoral thesis a highlyneglected segment of simulation modeling applications was analyzed. Combiningdynamic simulations with risk analysis, represents the central goal of the doctoralthesis. Additionally, research initiative of the thesis was focused on the developmentof new tools for enterprise risk analysis. The fragility risk analysis, prior to thepublications that the doctoral thesis is based upon, did not see many applicationsoutside of the financial sector. Consequently, new methods for adapting this heuristmethodology for economic entities outside of the financial sector was developed. Thesubject of research was LEAN systems and their dynamic behavior under the influenceof various stressors. LEAN business systems are often classified as highly optimizedand efficient in their operations; however, these systems can exhibit a number ofstructural weaknesses in their reaction to external and internal volatility. As thesubject of the doctoral dissertation, the creation of simulation models capable ofdetecting fragility in highly optimized LEAN systems was undertaken. Simulationmodels optimized for fragility analysis were created, with fragility being analyzed inthe context of the healthcare and municipal waste sectors. The analyzed systems canbe classified as LEAN systems, which through the conducted analysis showed fragilityin response to unwanted changes. The doctoral dissertation concludes that thecombination of simulation technologies with heuristic methods for risk analysis cancontribute to the development of the field of risk management.

Object languages

Serbian

Date

2022

Rights

Creative Commons License
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CC BY-ND 3.0 AT - Creative Commons Attribution-NoDerivs 3.0 Austria License.

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Identifiers