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Optimization models in waste management
Šmídová, Zlata ; Smejkalová, Veronika (referee) ; Šomplák, Radovan (advisor)
The master’s thesis deals with the application of optimization models in the waste management. The analysis of the current state, the estimation of information about the flow of a specific waste, the estimation of the probable processing site and the method of processing is developed by a suitable approach based on sophisticated mathematical methods. The mathematical model, which was created by merging the two already existing models, brings results suitable also for forecasting the state of the waste management. The output is a comprehensive computational tool that was tested on data from the year 2015. The results for mixed municipal waste (catalogue number 20 03 01), bulky waste (catalogue number 20 03 07) and waste with catalogue number 19 08 05, i.e. residual sludge from sewage plants, were processed in MS Excel.
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Statistical evaluation of large-scale data of waste colection problem
Šmídová, Zlata ; Karpíšek, Zdeněk (referee) ; Šomplák, Radovan (advisor)
The bachelor thesis deals with statistical evaluation of large-scale data of waste collection problem and with evaluation these data for the purpose of subsequent traffic optimization. Statistical tests were performed in Microsoft Excel and STATISTICA. After compiling the mathematical model, the processed data were uploaded to the SQLite database and to the General Algebraic Modeling System, which calculated the time spent on each section of the route. The results are important for dealing with traffic and logistics issues that many companies and companies are engaged in. This approach represents a new technique for creating boundary conditions in traffic tasks. The output is high quality input data for optimization in logistics.
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Optimization models in waste management
Šmídová, Zlata ; Smejkalová, Veronika (referee) ; Šomplák, Radovan (advisor)
The master’s thesis deals with the application of optimization models in the waste management. The analysis of the current state, the estimation of information about the flow of a specific waste, the estimation of the probable processing site and the method of processing is developed by a suitable approach based on sophisticated mathematical methods. The mathematical model, which was created by merging the two already existing models, brings results suitable also for forecasting the state of the waste management. The output is a comprehensive computational tool that was tested on data from the year 2015. The results for mixed municipal waste (catalogue number 20 03 01), bulky waste (catalogue number 20 03 07) and waste with catalogue number 19 08 05, i.e. residual sludge from sewage plants, were processed in MS Excel.
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Statistical evaluation of large-scale data of waste colection problem
Šmídová, Zlata ; Karpíšek, Zdeněk (referee) ; Šomplák, Radovan (advisor)
The bachelor thesis deals with statistical evaluation of large-scale data of waste collection problem and with evaluation these data for the purpose of subsequent traffic optimization. Statistical tests were performed in Microsoft Excel and STATISTICA. After compiling the mathematical model, the processed data were uploaded to the SQLite database and to the General Algebraic Modeling System, which calculated the time spent on each section of the route. The results are important for dealing with traffic and logistics issues that many companies and companies are engaged in. This approach represents a new technique for creating boundary conditions in traffic tasks. The output is high quality input data for optimization in logistics.
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