National Repository of Grey Literature 30 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Visualisation for risk models in logistics
Hamšík, Filip ; Pavlas, Martin (referee) ; Popela, Pavel (advisor)
This thesis focuses on development of web application for the visualization of waste transportation according to calculated data from optimization methods in GAMS application. Visualization shows the nodes and edges on Google Maps where it is possible to show more detailed information including diagrams and tables. The application provides filtering edges by their type, highlighting edges with dynamic setting, several different ways for user access and other features. Based on developed application there will be presented some recommendations applicable in future using of the model.
Complex Waste Collection Models
Nevrlý, Vlastimír ; Šenkeřík, Roman (referee) ; Procházka,, Vít (referee) ; Stehlík, Petr (advisor)
The subject of this doctoral thesis is the solution of logistics systems in the context of waste management. The work begins with an extensive research in the field of modelling various situations from the waste transportation chain. There are presented multiple types of practical tasks in the area of operation research applicable to waste management. Their possibilities of extension and modification are analysed for use by investors, technical services or waste collection service providers. An essential part of the work is the identification of critical parameters in the waste collection at the level of municipalities and micro-regions. Based on practical requirements, challenges related to the improvement of decision-making and planning systems are defined. The available techniques proved to be insufficient for practical problems. For the area of changes and designs of collection systems (design and modification of routes, choice of the vehicle fleet, collection plan, etc.) there are no procedures that would include a whole range of operating conditions and parameters. The boundary conditions of the task affecting fundamental requirements are highly variable. The thesis presents a comprehensive approach, which is divided into several phases. The preparation and analysis of input data focused mainly on the creation of transport infrastructure, allocation of waste collection containers and their pairing to the network, which also reduces the size of the task. Furthermore, a procedure for compliance with the rules of the road was designed using a penalty function, and an algorithm for defining imaginary edges was implemented, which will allow distinguishing the frequency of collection on selected network segments. To reduce the size of the task, a segment clustering algorithm was also designed, which will enable the calculation of the collection even for larger areas. Input parameters related to operating time and fullness of collection containers are elaborated in greater detail, as they most influence the results of the task. A great benefit is also the algorithm generating the initialization solution from historical routes. As part of the related publishing activities, environmental criteria were defined to evaluate global and local impacts of waste transportation and treatment. The outputs of the thesis are used primarily for the analysis of collection systems, to support the deployment of waste containers, planning collection routes, time schedules and dimensioning the size of the vehicle fleet. The proposed algorithms were tested in several case studies, which proved the broad applicability of a comprehensive tool in the field of waste logistics. Although the thesis is focused on modelling the collection of municipal waste, the usability of the implemented procedures is possible in other areas of waste management or other sectors.
Transportation systems in waste management
Koutná, Marie ; Pavlas, Martin (referee) ; Gregor, Jiří (advisor)
The aim of the thesis is to elaborate on transport systems in waste management as they represent a key part of the waste management process. Its theoretical part covers legislation in waste management and sorts and systems of household waste collection. In the practical part there are commercially used vehicles chosen out and the fixed costs of their operation determined. Based on operation data, average velocities in an out of urban areas are calculated. As an outcome of a waste transport prices software, the influence of transport distance and waste mass are described, taking the average velocities into account.
Simulation model of waste collection for Network Simulator 3
Kolaja, Lukáš ; Mlýnek, Petr (referee) ; Fujdiak, Radek (advisor)
The goal of this diploma thesis is create an application for route optimalization for waste collection which is one of the technologies of smart cities. At first was described issue of smart cities focused to waste collection. The thesis describes the real deployment of smart waste collection using sensor network and was also designed its own model of smart waste collection. It is also described graph theory and related genetic algorithms which is suitable for waste collection optimalization. On that basics an application was made in C/C++ language which using a genetic algorithm to compute best possible path in graph which represents a map where waste is collected. By input data to application is vector image of evaluated graph in SVG data format.
Analysis of traffic data related to risks in waste management
Vaníček, Filip ; Smejkalová, Veronika (referee) ; Popela, Pavel (advisor)
The aim of this thesis is to prepare real data for subsequent optimization of the collection plan using advanced VRP („Vehicle Routing Problem “) algorithms. The diploma thesis is motivated by the project Strategic Partnership for Environmental Technologies and Energy Production. The output focuses on indeterminate factors that have a major risk for subsequent operations. These are economic, environmental and social risks (overcrowded containers). Another result is the implementation and processing of the time-consuming passage of all streets, the estimation of the speed of the collection (garbage) truck for the subsequent optimization of the route and the estimation of the mean value of the filling of individual collection containers.
Advanced Optimization Models in Waste Management
Procházka, Vít ; Roupec, Jan (referee) ; Popela, Pavel (advisor)
This thesis deals with an optimization of waste collection in a mid-sized town. The model is formulated based on requirements from a real process. To deal with this problem, the original memetic algorithm was developed and implemented in C++.
Principy cirkulární ekonomiky v provozu školy
ČAPKOVÁ, Markéta
The main goal of this diploma thesis is to find out the current regulations and methodologies concerning the circular economy in educational institutions and at the same time to suggest how the operation of a school can introduce the principles of the circular economy into their daily operation. A partial goal is to create a general manual, according to which the schools involved could switch to circular economy by simple steps.
Operational Research in Waste Management: Task Reduction Techniques
Janošťák, František ; Máša, Vítězslav (referee) ; Šenkeřík, Roman (referee) ; Pavlas, Martin (advisor)
The dissertation thesis focuses on reducing the computational complexity of selected modeling tasks in waste management. Two types of optimization tasks are presented here. First, attention is focuses on transport tasks. Current computational tools approach transport tasks with greatly simplified models of transportation costs. The thesis presents a more accurate model of transportation costs and describes its implementation into the long-term successfully used unique tool NERUDA. The improved tool provides more accurate results, however, requires more computational time. The work describes cases where the original tool provides results comparable to the improved one and suggests the methodology of how to identify, even before the calculation, whether the use of optimized models is necessary. The work continues in the area of scenario approaches, which output a significant amount of transport task results. Analysis of the results and their processing is key for further use in practice. The currently used tool works with future development scenarios where one result is calculated for each scenario. In many cases, the results are very similar, but their quantity hinders the following analysis The thesis describes an approach based on cluster analysis, which groups the results into categories and thereby significantly aids their processing and interpretation. The second type of tasks is represented by the optimization of the conceptual design of a waste-to-energy plant and a heating plant cooperation. In general, this is a stochastic mixed integer non-linear programming problem. The work presents an innovative approach, which, based on the decomposition of the task and its parallel solution, allows working with higher accuracy without a significant increase in computing time.
Complex Waste Collection Models
Nevrlý, Vlastimír ; Šenkeřík, Roman (referee) ; Procházka,, Vít (referee) ; Stehlík, Petr (advisor)
The subject of this doctoral thesis is the solution of logistics systems in the context of waste management. The work begins with an extensive research in the field of modelling various situations from the waste transportation chain. There are presented multiple types of practical tasks in the area of operation research applicable to waste management. Their possibilities of extension and modification are analysed for use by investors, technical services or waste collection service providers. An essential part of the work is the identification of critical parameters in the waste collection at the level of municipalities and micro-regions. Based on practical requirements, challenges related to the improvement of decision-making and planning systems are defined. The available techniques proved to be insufficient for practical problems. For the area of changes and designs of collection systems (design and modification of routes, choice of the vehicle fleet, collection plan, etc.) there are no procedures that would include a whole range of operating conditions and parameters. The boundary conditions of the task affecting fundamental requirements are highly variable. The thesis presents a comprehensive approach, which is divided into several phases. The preparation and analysis of input data focused mainly on the creation of transport infrastructure, allocation of waste collection containers and their pairing to the network, which also reduces the size of the task. Furthermore, a procedure for compliance with the rules of the road was designed using a penalty function, and an algorithm for defining imaginary edges was implemented, which will allow distinguishing the frequency of collection on selected network segments. To reduce the size of the task, a segment clustering algorithm was also designed, which will enable the calculation of the collection even for larger areas. Input parameters related to operating time and fullness of collection containers are elaborated in greater detail, as they most influence the results of the task. A great benefit is also the algorithm generating the initialization solution from historical routes. As part of the related publishing activities, environmental criteria were defined to evaluate global and local impacts of waste transportation and treatment. The outputs of the thesis are used primarily for the analysis of collection systems, to support the deployment of waste containers, planning collection routes, time schedules and dimensioning the size of the vehicle fleet. The proposed algorithms were tested in several case studies, which proved the broad applicability of a comprehensive tool in the field of waste logistics. Although the thesis is focused on modelling the collection of municipal waste, the usability of the implemented procedures is possible in other areas of waste management or other sectors.
Analysis of traffic data related to risks in waste management
Vaníček, Filip ; Smejkalová, Veronika (referee) ; Popela, Pavel (advisor)
The aim of this thesis is to prepare real data for subsequent optimization of the collection plan using advanced VRP („Vehicle Routing Problem “) algorithms. The diploma thesis is motivated by the project Strategic Partnership for Environmental Technologies and Energy Production. The output focuses on indeterminate factors that have a major risk for subsequent operations. These are economic, environmental and social risks (overcrowded containers). Another result is the implementation and processing of the time-consuming passage of all streets, the estimation of the speed of the collection (garbage) truck for the subsequent optimization of the route and the estimation of the mean value of the filling of individual collection containers.

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