Title
Razvoj logističkog modela za upravljanje komunalnim otpadom primenom heurističkih metoda
Creator
Marković, Danijel S. 1983-
Copyright date
2018
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: 24.08.2018.
Other responsibilities
mentor
Petrović, Goran 1974-
član komisije
Janošević, Dragoslav
član komisije
Ćojbašić, Žarko
član komisije
Stefanović, Gordana
član komisije
Stanković, Miomir
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Mašinski fakultet
Group
Katedra za transportnu tehniku i logistiku
Alternative title
Development of a logistic model for municipal waste management by applying heuristic methods
Publisher
[D. S. Marković]
Format
X, 146 str.
description
Bibliografija: str. 139-145.
description
Transport technics and logistics
Abstract (en)
Inadequate 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.
Authors Key words
Sakupljanje i transport komunalnog otpada, optimizacija problema
usmeravanja vozila, heurističke i meta-heurističke metode, razvoj ekspertng modela za dinamičko usmeravanje vozila
Authors Key words
Collection and transport of municipal waste, optimization of vehicle routing
problems, heuristic and meta-heuristic methods, development of an expert
model for dynamic vehicle routing
Classification
628.465:621.86/.87]:519.8(043.3)
Subject
T280, P160
Type
Tekst
Abstract (en)
Inadequate 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.
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