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Disertacija - Univerzitet u Novom Sadu

Disertacija - Univerzitet u Novom Sadu

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ABSTRACT<br />

In an environment of continuing increase of cargo flows and reduced fossil fuel<br />

resources, a strategic approach to supply chain management is becoming increasingly<br />

important. The first step in a strategic approach to optimization of the supply chain is to<br />

determine the optimal facility locations. Within this research two characteristic Supply<br />

Chains were examined and modeling of the following location and allocation problems was<br />

carried out:<br />

1. public, international logistics centers with the distribution function and<br />

2. solid biomass power plants.<br />

The location allocation problem of public international logistics centers with the<br />

distribution function is modeled as a single objective, discrete, static problem on the<br />

network. The defined model considers locating one or more public logistics centers with<br />

the distribution function on the existing transportation network as a set covering location<br />

model for a defined gravitation area. The model determines the optimal number, type, size<br />

and location of logistics centers, as well as the allocation of users to located centers,<br />

based on the existing or expected cargo flows in the defined gravitational area, aiming<br />

thereby to minimize the total supply chain costs. In comparison to previous researches, the<br />

defined improved model enables selection of optimal logistic center type and optimal<br />

transport mode for the macro flows of goods, considers impact of the share of certain<br />

transport modes to the total cost of the supply chain, and when determining the optimal<br />

capacity of the center, besides the value of investments, it considers also the fixed<br />

operational cost of the center. To solve the location allocation problem with the help of<br />

defined mathematical model, a genetic algorithm, which takes into consideration all the<br />

aforementioned specificities, was developed. The model has been tested in the case study<br />

of the Republic of Serbia. The results pointed out that transport costs of macro flows have<br />

the biggest influence on the optimal number and location of centers, that share of transport<br />

modes has a significant influence to the choice of optimal type, capacity and location of<br />

centers, as well as that considering fixed operational costs of centers should be<br />

considered when determining the optimal capacity. The testing, among others, concluded<br />

that the formulated model represents a useful tool for making strategic decisions, not only<br />

in the case of logistics centers’ location problem solving, but also in the design and<br />

management of the distribution systems.<br />

The location allocation problem of the solid biomass power plants is modeled as a<br />

single objective, discrete, static problem on the network. The developed model, based on<br />

the defined geographical region, available types of biomass and their spatial distribution,<br />

yearly amount of biomass required, investments and operational costs of the plants, aims<br />

to determine the optimal number, type, nominal power, location and allocation of the solid<br />

biomass power plants for which the total cost per unit of generated electric power will be<br />

the lowest. Additionally, the model should show the change of the total electrical energy<br />

generation costs in relation to the change of the total installed capacity of all located power<br />

plants, and on the basis of this change to define a limit of cost-effective total power to be<br />

installed in the defined area. In comparison to previous researches, the defined improved<br />

model enables selection of different types of solid biomass power plants, some of which<br />

combining more biomass sorts. Also, two new coefficients enabling more precise mapping<br />

IX

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