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dc.contributor.advisorPetrović, Goran
dc.contributor.otherJanošević, Dragoslav
dc.contributor.otherĆojbašić, Žarko
dc.contributor.otherStefanović, Gordana
dc.contributor.otherStanković, Miomir
dc.creatorMarković, Danijel S.
dc.date.accessioned2018-12-20T08:37:38Z
dc.date.available2018-12-20T08:37:38Z
dc.date.issued2018-08-24
dc.identifier.urihttp://eteze.ni.ac.rs/application/showtheses?thesesId=6236
dc.identifier.urihttps://fedorani.ni.ac.rs/fedora/get/o:1507/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70052&RID=534003862
dc.identifier.urihttp://nardus.mpn.gov.rs/123456789/10413
dc.descriptionInadequate collection and transport, as functions of municipal waste management, result in enormous economic and ecological losses, and represent a significant incentive to a great number of researchers with the aim of discovering appropriate systemic solutions. A set of vehicles that support the process of collection and transport of municipal waste most often comprise the majority of vehicle fleets of public utility companies, which is usually around 50–70% of transport units. This process is also dominant in those business systems that integrate several public utilities. In such systems, there are 15–40% of transport units that support the process of collection and transport of municipal waste. Through optimization and application of heuristic and metaheuristic methods on only one of these systems, it is possible to reduce the cost of fuel for vehicles by 10 ÷ 25%. The choice of the optimal logistic model for collection and transport of municipal waste in urban areas implies the consideration of a large number of limitations. This number has imposed the need for the application of various algorithms for obtaining optimal solutions. In this dissertation, for the purpose of obtaining an optimal logistic model of collection and transport of municipal waste, the C-W savings algorithm was applied to yield an initial solution, while its improvement was performed by applying the 2-OPT search algorithm and the SA algorithm. The dissertation presents four models, whose simulation led to the optimal model that represents the dynamic model of vehicle routing for collection and transport of municipal waste. The developed methodology was applied to a real problem of waste collection and transport in the City of Niš, and the obtained results show the achieved reduction in fuel for vehicles and operation time of 10%. Thus developed model served as the basis for the development of a conceptual expert system model that predicts the use of information and communication technologies in the design of optimal routes in real time. Such a model can help companies that deal with waste collection and transport to achieve even greater fuel savings and reduction in operating costs.en
dc.formatapplication/pdf
dc.languagesr
dc.publisherУниверзитет у Нишу, Машински факултетsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35049/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/14068/RS//
dc.rightsAutorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
dc.sourceУниверзитет у Нишуsr
dc.subjectSakupljanje i transport komunalnog otpada, optimizacija problema usmeravanja vozila, heurističke i meta-heurističke metode, razvoj ekspertng modela za dinamičko usmeravanje vozilasr
dc.subjectCollection and transport of municipal waste, optimization of vehicle routing problems, heuristic and meta-heuristic methods, development of an expert model for dynamic vehicle routingen
dc.titleRazvoj logističkog modela za upravljanje komunalnim otpadom primenom heurističkih metodasr
dc.typePhD thesis


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